CN107329263A - The method and device that the virtual implementing helmet depth of field is shown - Google Patents
The method and device that the virtual implementing helmet depth of field is shown Download PDFInfo
- Publication number
- CN107329263A CN107329263A CN201710543925.4A CN201710543925A CN107329263A CN 107329263 A CN107329263 A CN 107329263A CN 201710543925 A CN201710543925 A CN 201710543925A CN 107329263 A CN107329263 A CN 107329263A
- Authority
- CN
- China
- Prior art keywords
- virtual implementing
- implementing helmet
- observation
- depth
- field
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 29
- 238000012360 testing method Methods 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims description 8
- 230000000007 visual effect Effects 0.000 claims description 5
- 230000003287 optical effect Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims description 2
- 239000011800 void material Substances 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 6
- 230000003028 elevating effect Effects 0.000 description 3
- 210000003128 head Anatomy 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 238000007654 immersion Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/012—Head tracking input arrangements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
- G01M11/0242—Testing optical properties by measuring geometrical properties or aberrations
- G01M11/0257—Testing optical properties by measuring geometrical properties or aberrations by analyzing the image formed by the object to be tested
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/0012—Optical design, e.g. procedures, algorithms, optimisation routines
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
- G02B27/0172—Head mounted characterised by optical features
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
- G02B27/0176—Head mounted characterised by mechanical features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/011—Head-up displays characterised by optical features comprising device for correcting geometrical aberrations, distortion
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/0127—Head-up displays characterised by optical features comprising devices increasing the depth of field
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/014—Head-up displays characterised by optical features comprising information/image processing systems
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0101—Head-up displays characterised by optical features
- G02B2027/0141—Head-up displays characterised by optical features characterised by the informative content of the display
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/0149—Head-up displays characterised by mechanical features
- G02B2027/0161—Head-up displays characterised by mechanical features characterised by the relative positioning of the constitutive elements
- G02B2027/0163—Electric or electronic control thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/012—Walk-in-place systems for allowing a user to walk in a virtual environment while constraining him to a given position in the physical environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Optics & Photonics (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Human Computer Interaction (AREA)
- Geometry (AREA)
- Eye Examination Apparatus (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Eyeglasses (AREA)
Abstract
The present invention provides the method and device that a kind of virtual implementing helmet depth of field is shown, including test cell, observation unit, elementary area and processing unit, the test cell includes virtual implementing helmet to be placed, fixed structure, the virtual implementing helmet to be placed includes display screen, the fixed structure includes clamping device and position-limit mechanism, and the clamping device, which can be opened, is put into the virtual implementing helmet.Compared with prior art, the present invention effectively simply solves the problem of depth of field is shown using test cell, observation unit, the combination of elementary area and processing unit.Observation unit is moved along eyepiece track motion by motor belt motor, can facilitate from multiple angles from carrying out, to facilitate the setting of multiple points of observation.
Description
Technical field
The present invention relates to field of virtual reality, a kind of method shown more specifically to virtual implementing helmet depth of field
And device.
Background technology
Distortion eyeglass has application in many fields, for example, in virtual reality system, in order to allow user visually to gather around
There is real feeling of immersion, virtual reality device will cover the visual range of human eye as far as possible, therefore be accomplished by virtually existing
Real equipment fills a specific sphere radian eyeglass, but when traditional image is projected using Arc lenses in the eye of people,
Image is distortion, and human eye just has no idea to obtain the positioning in Virtual Space, i.e., your periphery is all to turn round in virtual reality
Bent image.This problem is solved it is necessary to first torsigram picture, passes through the corresponding distortion figure of specific algorithm generation distortion eyeglass
Picture, then these fault images will become normal image, so as to allow people to feel after human eye is projected by distortion eyeglass
Feel real position projection and the covering of big angular field of view.Current lens manufacturer can come according to certain distortion parameter
Eyeglass is made, these eyeglasses are assembled on virtual implementing helmet by the manufacturer of virtual implementing helmet.For common
For the user and software developer of virtual implementing helmet, due to can not detect the instrument of eyeglass distortion parameter, except
Distortion parameter can not intuitively be obtained by being asked for eyeglass manufacturer beyond distortion parameter, largely have impact on virtual reality
The exploitation of software and use.Simultaneously because distortion parameter can not be obtained, the depth of field of virtual implementing helmet can not just be shown and carried out
Set.
The content of the invention
The defect of the depth of field can not be set in order to solve current virtual real world devices, the present invention provides a kind of virtual implementing helmet
The method that the depth of field is shown, comprises the following steps：
S100：The distortion parameter of virtual implementing helmet to be tested is stored in processing unit；
S200：The angle position of corresponding sight is calculated according to depth of field relation；
S300：Luminous point is gone out according to the angle position backwards calculation of the distortion parameter of virtual implementing helmet to be placed and sight
Position on screen.
Preferably, step S10 is further comprised：Distortion first to the virtual implementing helmet before display is set is joined
Number is measured.
Preferably, the measuring method of virtual implementing helmet to be tested comprises the following steps：
S11：Mobile observation unit observes virtual implementing helmet to be detected to point of observation, in the virtual reality head to be detected
Pointwise shows dot pattern picture in helmet, and the image that elementary area is observed to the observation unit is handled；
S12：When described image unit, which detects the luminous point image that the observation unit observes, meets preparatory condition, institute
State elementary area and transmit detection information to processing unit；
S13：The processing unit receive described image unit transmission detection information after, recording spot position with it is described
The corresponding relation of observation unit position, the observation unit is moved to next point of observation and observed；
S14：The processing unit is intended according to multigroup light spot position of record with the corresponding relation of the observation unit position
The distortion function in database is closed, and records the result of fitting.
Preferably, the light of the virtual implementing helmet transmitting to be detected is reflected via optical mirror slip, the observation
Unit observes the light that the virtual implementing helmet to be detected is launched by simulating the angle at human eye visual angle.
Preferably, further comprise the steps：
S15：When data fitting is unsuccessful, the processing unit stores corresponding relation in the way of point function.
The device that a kind of virtual implementing helmet depth of field is shown, including test cell, observation unit, elementary area and place are provided
Unit is managed, the test cell includes virtual implementing helmet to be placed, fixed structure, and the virtual implementing helmet to be placed includes
Display screen, the fixed structure includes clamping device and position-limit mechanism, the clamping device can open be put into it is described virtual existing
The real helmet.
Preferably, the clamping device includes torsion spring, and the torsion spring can act on institute after clamping device opening
State clamping device and be allowed to closure with the fixed virtual implementing helmet.
Preferably, the observation unit includes observation eyepiece, eyepiece track and motor, and the observation eyepiece can be described
Eyepiece track motion described in the drive lower edge of motor.
Preferably, the observation unit includes movable plate, observation eyepiece, shadow shield, eyepiece track and motor, the observation
Eyepiece can eyepiece track motion described in the drive lower edge in the motor, the eyepiece track is arranged on the movable plate,
The movable plate can drive the observation eyepiece, the motor and the eyepiece track to move together.
Preferably, the shadow shield includes loophole.
Compared with prior art, the present invention calculates view directions, and correspondence virtual reality head using according to depth of field relation
The distortion data of helmet calculate correspondence display screen luminous point so that reach set the virtual implementing helmet depth of field purpose there is provided
A kind of method to set up of the virtual implementing helmet depth of field.The device that the virtual implementing helmet depth of field of the present invention is shown simultaneously can be simultaneously
The distortion data of virtual implementing helmet is measured, virtual implementing helmet is also carried out the depth of field in the case of no distortion data and sets
Put.Depth of field setting is effectively simply solved using the combination of test cell, observation unit, elementary area and processing unit
Problem.Observation unit is moved along eyepiece track motion by motor belt motor, can facilitate from multiple angles from carrying out, to facilitate multiple
The setting of point of observation.
Brief description of the drawings
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing：
Fig. 1 is the module diagram of virtual implementing helmet depth of field display device first embodiment of the present invention；
Fig. 2 is first embodiment test cell module diagram；
Fig. 3 is virtual implementing helmet depth of field display device first embodiment schematic diagram of the present invention；
Fig. 4 is virtual implementing helmet depth of field display device first embodiment side schematic view of the present invention；
Fig. 5 is virtual implementing helmet depth of field displaying principle schematic diagram of the present invention；
Fig. 6 is virtual implementing helmet depth of field display device second embodiment structural representation of the present invention；
Fig. 7 is second embodiment of the invention shade schematic diagram.
Embodiment
The defect of the depth of field can not be set in order to solve current virtual real world devices, the present invention provides a kind of virtual implementing helmet
The method and device that the depth of field is shown.
In order to which technical characteristic, purpose and effect to the present invention are more clearly understood from, now compare accompanying drawing and describe in detail
The embodiment of the present invention.
Refer to Fig. 1-Fig. 2, virtual implementing helmet depth of field display device of the present invention include test cell 1, observation unit 2,
Elementary area 3 and processing unit 4.Wherein, test cell 1 includes trial lens 12 to be measured, fixed structure 14, and trial lens 12 to be measured can
Releasably it is fixed on fixed structure 14.Elementary area 3 is electrically connected with observation unit 2, processing unit 4 and the electricity of elementary area 3
Property connection.Observation unit 2 is observed test cell 1 by way of shooting image, and it is single that observation unit 2 can shoot test
The image of member 1, and the image transmitting of shooting to elementary area 3 is handled, elementary area 3 can handle observation unit 2 and clap
The image taken the photograph, and result is transferred to processing unit 4 handled, what processing unit 4 can be transmitted according to elementary area 3
Data are handled.
Fig. 3-Fig. 4 shows the first embodiment of the virtual implementing helmet depth of field display device as example, display screen 16
It is fixedly installed in fixed structure 14, eyeglass installation portion 18 is provided with fixed structure 14, eyeglass installation portion 18 can be for peace
Fill trial lens 12 to be measured.Observation unit 2 includes observation eyepiece 23, eyepiece track 25, eyepiece motor 271, lifting motor 272 and risen
Drop bar 273, observation eyepiece 23 can under the drive of eyepiece motor 271 along the translation of eyepiece track 25, and can eyepiece electricity
Rotational transform viewing angle under the drive of machine 271.Observation eyepiece 23 is connected with elevating lever 273, it is possible to follow elevating lever 273
One lifting.Elevating lever 273 can be lifted by the control of lifting motor 272 in vertical direction.When in use, eyepiece motor 271,
Lifting motor 272 can be coordinated with translation to be rotated and lifts, and observation eyepiece 23 is reached different observation positions, is simulated direction of visual lines
Observe the light that display screen 16 is launched.
In initial fitting distortion data, fixed structure 14 is removed first, and to be measured show on trial is installed at eyeglass installation portion 18
Fixed structure 14, is then arranged on base 21 by piece 12.Eyepiece motor 271 is resetted, eyepiece motor 271 is reached eyepiece track
The initial position of 25 one end.Now, preparation is completed before detecting.After processing unit 4 receives the order for starting detection,
Eyepiece motor 271 and lifting motor 272 drive observation eyepiece 23 to reach first point of observation, meanwhile, the order display of processing unit 4
Screen 16 shows detection informations, first, display screen 16 in units of column of pixels from the first end of display screen 16 to the second end by column
The longitudinal light of display, first end and the second end are relative, can artificially specify as needed, generally we are specified from
The direction of unit 2 to the test cell 1 after fixation sees that the left end of display screen 16 is first end, and right-hand member is the second end, when image list
When the display information that member 3 detects display screen 16 reaches the calibration position of observation unit 2 after distortion, elementary area 3 is transmitted
Information is to processing unit 4, and processing unit 4 records the abscissa positions of light in the now position of observation unit 2 and display screen 16.
Then observation unit 2 moves to next point of observation, and the order test cell 1 of processing unit 4 shows detection information, repeats above-mentioned inspection
Survey process.Point of observation quantity sets more, and eyeglass lens measurement result is finer, is just advantageously fitted in data.All
After the completion of the detection of point of observation, processing unit 4 collects all corresponding relations, and in the corresponding relation fitting data storehouse according to storage
The distortion function of storage.After processing unit 4 is successfully fitted one of them to several distortion functions, processing unit 4 is recorded and deposited
Store up the fitting result；When processing unit 4 can not be according to the distortion function in the corresponding relation fitting data storehouse measured, processing is single
Member 4 stores corresponding relation in the way of point function.
Referring to Fig. 5, Fig. 5 shows the Method And Principle schematic diagram that the virtual implementing helmet depth of field of the present invention is shown.As schemed
Show, when observer forms image in vision, it is necessary to right and left eyes collaboration imaging.In Figure 5, the transmitting of display screen 16 light passes through
The refraction of optical mirror slip arrives separately at right and left eyes, right and left eyes is visually felt there is image at A, and in display screen 16
On, corresponding luminous point is respectively A1And A2, material is thus formed the effect of the depth of field.
Fig. 6-Fig. 7 is referred to, Fig. 6 shows second embodiment of the invention.The second embodiment of the present invention is mainly used in pair
The display depth of field of virtual implementing helmet is configured.It is to be placed virtual including virtual implementing helmet 13 to be placed, fixed structure 14
The real helmet 13 is removably mounted in fixed structure 14, and fixed structure 14 includes clamping device 142, position-limit mechanism 141 and bottom
Plate 143, wherein, clamping device 142 includes torsion spring (not shown), and clamping device 142 can be opened, to be placed virtual existing when being put into
After the real helmet 13, torsion spring can act on clamping device 142 and be allowed to close, and play the work of fixed virtual implementing helmet 13 to be placed
With.Position-limit mechanism 141 can precisely limit the position of virtual implementing helmet 13 to be placed, prevent virtual implementing helmet 13 to be placed
Position is excessively forward or influences optimum results rearward, and position-limit mechanism 141 and clamping device 142 are fixed on bottom plate 143.Observation is single
Member 2 includes two groups of facilities for observations, and two groups of facilities for observations are observed left eye and the corresponding fault image of right eye respectively.Observation is single
Member 2 include observation eyepiece 23, eyepiece track 25, motor 27 and shade 29, observation eyepiece 23 can motor 27 drive
It is lower along the rotational transform viewing angle of eyepiece track 25.When in use, motor 27 can be around virtual left point of observation 26 and You Guan
Examine and a little 28 rotate, observation eyepiece 23 is reached different observation positions, simulation direction of visual lines observes virtual implementing helmet to be placed
The light of 13 transmittings.Fig. 7 shows the shade 29 as example, and shade 29 is provided through on shade 29
Slit 291, a diameter of 1mm of slit 291 or so, with certain depth, for ensureing thin image formation by rays condition, makes observation mesh
Mirror 23 can accurately observe the light that respective direction is transmitted, and prevent the light in other directions from producing influence to observation result.Shading
Device 29 is removably mounted on observation eyepiece 23.
Showing that we can use calculating and setting when being configured to the depth of field.When carrying out calculating and setting, we can be with
The distortion parameter of virtual implementing helmet is measured first before depth of field display is set, obtained using this method measurement
The distortion function of fitting, determine the viewing angle of observation unit 2 and the corresponding relation of luminous point on display screen 16, the i.e. sight of people with
The corresponding relation of luminous point on display screen 16.Then the angle of left and right an eye line is calculated according to depth of field data, and according to distortion letter
Number draws the light spot position on the corresponding display screen 16 of the angle.Be iteratively repeated this process can be to owning on image to be displayed
The display of depth of field position is effectively set.
Compared with prior art, the present invention calculates view directions, and correspondence virtual reality head using according to depth of field relation
The distortion data of helmet calculate correspondence display screen luminous point so that reach set the virtual implementing helmet depth of field purpose there is provided
A kind of method to set up of the virtual implementing helmet depth of field.The device that the virtual implementing helmet depth of field of the present invention is shown simultaneously can be simultaneously
The distortion data of virtual implementing helmet is measured, virtual implementing helmet is also carried out the depth of field in the case of no distortion data and sets
Put.The depth of field is effectively simply solved using the combination of test cell 1, observation unit 2, elementary area 3 and processing unit 4 to set
The problem of putting.Drive observation unit 2 to be moved along eyepiece track 25 by motor 27, can facilitate from multiple angles to be seen
Examine, facilitate the setting of multiple points of observation.
Embodiments of the invention are described above in conjunction with accompanying drawing, but the invention is not limited in above-mentioned specific
Embodiment, above-mentioned embodiment is only schematical, rather than restricted, one of ordinary skill in the art
Under the enlightenment of the present invention, in the case of present inventive concept and scope of the claimed protection is not departed from, it can also make a lot
Form, these are belonged within the protection of the present invention.
Claims (10)
1. a kind of method that virtual implementing helmet depth of field is shown, it is characterised in that comprise the following steps：
S100：The distortion parameter of virtual implementing helmet to be tested is stored in processing unit；
S200：The angle position of corresponding sight is calculated according to depth of field relation；
S300：Luminous point is gone out in screen according to the angle position backwards calculation of the distortion parameter of virtual implementing helmet to be placed and sight
Position on curtain.
2. the method that the virtual implementing helmet depth of field according to claim 1 is shown, it is characterised in that further comprise step
S10：The distortion parameter of the virtual implementing helmet is measured first before display is set.
3. the method that the virtual implementing helmet depth of field according to claim 2 is shown, it is characterised in that virtual reality to be tested
The measuring method of the helmet comprises the following steps：
S11：Mobile observation unit observes virtual implementing helmet to be detected to point of observation, in the virtual implementing helmet to be detected
Pointwise shows dot pattern picture, and the image that elementary area is observed to the observation unit is handled；
S12：When described image unit, which detects the luminous point image that the observation unit observes, meets preparatory condition, the figure
As unit transmits detection information to processing unit；
S13：The processing unit is received after the detection information of described image unit transmission, recording spot position and the observation
The corresponding relation of cell position, the observation unit is moved to next point of observation and observed；
S14：The processing unit is fitted number according to multigroup light spot position of record with the corresponding relation of the observation unit position
According to the distortion function in storehouse, and record the result of fitting.
4. the method that the virtual implementing helmet depth of field according to claim 3 is shown, it is characterised in that described to be detected virtual
The light of real helmet transmitting is reflected via optical mirror slip, and the observation unit is observed by simulating the angle at human eye visual angle
The light of the virtual implementing helmet transmitting to be detected.
5. the method that the virtual implementing helmet depth of field according to claim 4 is shown, it is characterised in that further comprise following
Step：
S15：When data fitting is unsuccessful, the processing unit stores corresponding relation in the way of point function.
6. a kind of method described in utilization claim 1 sets the device that the virtual implementing helmet depth of field of the depth of field is shown, its feature
It is, including test cell, observation unit, elementary area and processing unit, the test cell includes virtual reality to be placed
The helmet, fixed structure, the virtual implementing helmet to be placed include display screen, and the fixed structure includes clamping device and spacing
Mechanism, the clamping device, which can be opened, is put into the virtual implementing helmet.
7. the device that the virtual implementing helmet depth of field according to claim 6 is shown, it is characterised in that the clamping device bag
Torsion spring is included, the torsion spring can act on the clamping device after clamping device opening and be allowed to closure with the fixed void
Intend the real helmet.
8. the device that the virtual implementing helmet depth of field according to claim 7 is shown, it is characterised in that the observation unit bag
Observation eyepiece, eyepiece track and motor are included, the observation eyepiece can eyepiece track fortune described in the drive lower edge in the motor
It is dynamic.
9. the device that the virtual implementing helmet depth of field according to claim 7 is shown, it is characterised in that the observation unit bag
Include movable plate, observation eyepiece, shadow shield, eyepiece track and motor, the observation eyepiece can the motor drive lower edge
The eyepiece track motion, the eyepiece track is arranged on the movable plate, and the movable plate can drive the observation mesh
Mirror, the motor and the eyepiece track are moved together.
10. the device that the virtual implementing helmet depth of field according to claim 9 is shown, it is characterised in that the shadow shield bag
Include loophole.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2016213083149 | 2016-11-30 | ||
| CN201621308314 | 2016-11-30 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107329263A true CN107329263A (en) | 2017-11-07 |
Family
ID=60100336
Family Applications (35)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710543920.1A Pending CN108121068A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field laser sets the method and device of optimization display |
| CN201710544203.0A Pending CN107340595A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field region laser corresponding to scale |
| CN201710544213.4A Withdrawn CN107478412A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet distortion checking and the method and device of adjustment |
| CN201710543924.XA Pending CN107357037A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet laser assisted depth of field optimization |
| CN201710544195.XA Pending CN107329266A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field region is set |
| CN201710544210.0A Pending CN107544151A (en) | 2016-11-30 | 2017-07-05 | Based on virtual implementing helmet depth of field zone approach and device corresponding to scale |
| CN201710544199.8A Pending CN107544150A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field laser corresponding to scale |
| CN201710544196.4A Pending CN107315251A (en) | 2016-11-30 | 2017-07-05 | Based on the corresponding virtual implementing helmet interpupillary distance of scale and depth of field method to set up and device |
| CN201710544200.7A Pending CN107479188A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization |
| CN201710543941.3A Pending CN107390364A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser is set |
| CN201710543925.4A Pending CN107329263A (en) | 2016-11-30 | 2017-07-05 | The method and device that the virtual implementing helmet depth of field is shown |
| CN201710543944.7A Pending CN107544147A (en) | 2016-11-30 | 2017-07-05 | The method and device that depth of field laser based on image scale is set |
| CN201710544198.3A Pending CN107544149A (en) | 2016-11-30 | 2017-07-05 | Region depth of field method to set up and device based on image scale |
| CN201710544211.5A Pending CN107300775A (en) | 2016-11-30 | 2017-07-05 | The depth of field based on image scale sets the method and device of optimization |
| CN201710544204.5A Withdrawn CN107464221A (en) | 2016-11-30 | 2017-07-05 | Based on the method and device of virtual reality eyeglass distortion checking and adjustment corresponding to scale |
| CN201710543942.8A Pending CN107329264A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with the depth of field |
| CN201710544212.XA Pending CN107300776A (en) | 2016-11-30 | 2017-07-05 | Interpupillary distance depth of field method to set up and device based on image scale |
| CN201710543923.5A Pending CN107688387A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet dispersion detection |
| CN201710544194.5A Pending CN107329265A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance optimizes with depth of field laser |
| CN201710544208.3A Pending CN107290854A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance optimizes the method and device of display with the depth of field |
| CN201710544202.6A Pending CN107402448A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with depth of field laser |
| CN201710543936.2A Pending CN107462991A (en) | 2016-11-30 | 2017-07-05 | The method and device that the virtual implementing helmet depth of field is set |
| CN201710543939.6A Pending CN107526167A (en) | 2016-11-30 | 2017-07-05 | The method and device optimized based on depth of field laser corresponding to scale |
| CN201710544197.9A Pending CN107505708A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field method to set up and device based on image scale |
| CN201710544192.6A Pending CN107544148A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser based on image scale is set |
| CN201710543937.7A Pending CN107490861A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization display |
| CN201710544189.4A Withdrawn CN107357039A (en) | 2016-11-30 | 2017-07-05 | Virtual reality eyeglass distortion checking and the method and device of adjustment |
| CN201710544201.1A Pending CN107291246A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field measurement based on image scale |
| CN201710543938.1A Pending CN107357038A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance and the method and device of depth of field adjustment |
| CN201710543918.4A Pending CN107687936A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual implementing helmet dispersion corresponding to scale |
| CN201710543922.0A Pending CN107462400A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual reality eyeglass dispersion corresponding to scale |
| CN201710543865.6A Pending CN107702894A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual reality eyeglass dispersion detection |
| CN201710543919.9A Pending CN107422479A (en) | 2016-11-30 | 2017-07-05 | Based on virtual implementing helmet depth of field method to set up and device corresponding to scale |
| CN201710544205.XA Pending CN107315252A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field region laser is set |
| CN201710543921.6A Pending CN107300774A (en) | 2016-11-30 | 2017-07-05 | Method and device based on the corresponding virtual implementing helmet distortion checking of scale and adjustment |
Family Applications Before (10)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710543920.1A Pending CN108121068A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field laser sets the method and device of optimization display |
| CN201710544203.0A Pending CN107340595A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field region laser corresponding to scale |
| CN201710544213.4A Withdrawn CN107478412A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet distortion checking and the method and device of adjustment |
| CN201710543924.XA Pending CN107357037A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet laser assisted depth of field optimization |
| CN201710544195.XA Pending CN107329266A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field region is set |
| CN201710544210.0A Pending CN107544151A (en) | 2016-11-30 | 2017-07-05 | Based on virtual implementing helmet depth of field zone approach and device corresponding to scale |
| CN201710544199.8A Pending CN107544150A (en) | 2016-11-30 | 2017-07-05 | The method and device set based on virtual implementing helmet depth of field laser corresponding to scale |
| CN201710544196.4A Pending CN107315251A (en) | 2016-11-30 | 2017-07-05 | Based on the corresponding virtual implementing helmet interpupillary distance of scale and depth of field method to set up and device |
| CN201710544200.7A Pending CN107479188A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization |
| CN201710543941.3A Pending CN107390364A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser is set |
Family Applications After (24)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710543944.7A Pending CN107544147A (en) | 2016-11-30 | 2017-07-05 | The method and device that depth of field laser based on image scale is set |
| CN201710544198.3A Pending CN107544149A (en) | 2016-11-30 | 2017-07-05 | Region depth of field method to set up and device based on image scale |
| CN201710544211.5A Pending CN107300775A (en) | 2016-11-30 | 2017-07-05 | The depth of field based on image scale sets the method and device of optimization |
| CN201710544204.5A Withdrawn CN107464221A (en) | 2016-11-30 | 2017-07-05 | Based on the method and device of virtual reality eyeglass distortion checking and adjustment corresponding to scale |
| CN201710543942.8A Pending CN107329264A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with the depth of field |
| CN201710544212.XA Pending CN107300776A (en) | 2016-11-30 | 2017-07-05 | Interpupillary distance depth of field method to set up and device based on image scale |
| CN201710543923.5A Pending CN107688387A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet dispersion detection |
| CN201710544194.5A Pending CN107329265A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance optimizes with depth of field laser |
| CN201710544208.3A Pending CN107290854A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance optimizes the method and device of display with the depth of field |
| CN201710544202.6A Pending CN107402448A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet interpupillary distance is set with depth of field laser |
| CN201710543936.2A Pending CN107462991A (en) | 2016-11-30 | 2017-07-05 | The method and device that the virtual implementing helmet depth of field is set |
| CN201710543939.6A Pending CN107526167A (en) | 2016-11-30 | 2017-07-05 | The method and device optimized based on depth of field laser corresponding to scale |
| CN201710544197.9A Pending CN107505708A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet depth of field method to set up and device based on image scale |
| CN201710544192.6A Pending CN107544148A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field laser based on image scale is set |
| CN201710543937.7A Pending CN107490861A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field optimization display |
| CN201710544189.4A Withdrawn CN107357039A (en) | 2016-11-30 | 2017-07-05 | Virtual reality eyeglass distortion checking and the method and device of adjustment |
| CN201710544201.1A Pending CN107291246A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual implementing helmet depth of field measurement based on image scale |
| CN201710543938.1A Pending CN107357038A (en) | 2016-11-30 | 2017-07-05 | Virtual implementing helmet interpupillary distance and the method and device of depth of field adjustment |
| CN201710543918.4A Pending CN107687936A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual implementing helmet dispersion corresponding to scale |
| CN201710543922.0A Pending CN107462400A (en) | 2016-11-30 | 2017-07-05 | The method and device detected based on virtual reality eyeglass dispersion corresponding to scale |
| CN201710543865.6A Pending CN107702894A (en) | 2016-11-30 | 2017-07-05 | The method and device of virtual reality eyeglass dispersion detection |
| CN201710543919.9A Pending CN107422479A (en) | 2016-11-30 | 2017-07-05 | Based on virtual implementing helmet depth of field method to set up and device corresponding to scale |
| CN201710544205.XA Pending CN107315252A (en) | 2016-11-30 | 2017-07-05 | The method and device that virtual implementing helmet depth of field region laser is set |
| CN201710543921.6A Pending CN107300774A (en) | 2016-11-30 | 2017-07-05 | Method and device based on the corresponding virtual implementing helmet distortion checking of scale and adjustment |
Country Status (1)
| Country | Link |
|---|---|
| CN (35) | CN108121068A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108510549A (en) * | 2018-03-27 | 2018-09-07 | 京东方科技集团股份有限公司 | Distortion parameter measurement method and its device, the measuring system of virtual reality device |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107977076B (en) * | 2017-11-17 | 2018-11-27 | 国网山东省电力公司泰安供电公司 | A kind of wearable virtual reality device |
| CN108008535A (en) * | 2017-11-17 | 2018-05-08 | 国网山东省电力公司 | A kind of augmented reality equipment |
| CN107942517B (en) * | 2018-01-02 | 2020-03-06 | 京东方科技集团股份有限公司 | VR head-mounted display device and display method thereof |
| CN108303798B (en) * | 2018-01-15 | 2020-10-09 | 海信视像科技股份有限公司 | Virtual reality helmet, virtual reality helmet interpupillary distance adjusting method and device |
| CN108426702B (en) * | 2018-01-19 | 2020-06-02 | 华勤通讯技术有限公司 | Dispersion measurement device and method of augmented reality equipment |
| CN108399606B (en) * | 2018-02-02 | 2020-06-26 | 北京奇艺世纪科技有限公司 | Image adjusting method and device |
| CN109186957B (en) * | 2018-09-17 | 2024-05-10 | 浙江晶正光电科技有限公司 | High-precision automatic detection equipment for diffusion angle of laser diffusion sheet |
| CN109557669B (en) * | 2018-11-26 | 2021-10-12 | 歌尔光学科技有限公司 | Method for determining image drift amount of head-mounted display equipment and head-mounted display equipment |
| US11513346B2 (en) * | 2019-05-24 | 2022-11-29 | Beijing Boe Optoelectronics Technology Co., Ltd. | Method and apparatus for controlling virtual reality display device |
| CN110320009A (en) * | 2019-06-25 | 2019-10-11 | 歌尔股份有限公司 | Optical property detection method and detection device |
| CN113822104B (en) * | 2020-07-07 | 2023-11-03 | 湖北亿立能科技股份有限公司 | Artificial intelligence surface of water detecting system based on virtual scale of many candidates |
| CN113768240A (en) * | 2021-08-30 | 2021-12-10 | 航宇救生装备有限公司 | Method for adjusting imaging position of display protection helmet |
| CN114089508B (en) * | 2022-01-19 | 2022-05-03 | 茂莱（南京）仪器有限公司 | Wide-angle projection lens for detecting optical waveguide AR lens |
| DE102022207774A1 (en) | 2022-07-28 | 2024-02-08 | Robert Bosch Gesellschaft mit beschränkter Haftung | Method for an automated calibration of a virtual retinal display for data glasses, calibration device and virtual retinal display |
| CN117214025B (en) * | 2023-11-08 | 2024-01-12 | 广东德鑫体育产业有限公司 | Helmet lens detection device |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5619373A (en) * | 1995-06-07 | 1997-04-08 | Hasbro, Inc. | Optical system for a head mounted display |
| CN102967473B (en) * | 2012-11-30 | 2015-04-29 | 奇瑞汽车股份有限公司 | Driver front-view measuring device |
| US10228562B2 (en) * | 2014-02-21 | 2019-03-12 | Sony Interactive Entertainment Inc. | Realtime lens aberration correction from eye tracking |
| CN104363986B (en) * | 2014-10-31 | 2017-06-13 | 华为技术有限公司 | A kind of image processing method and equipment |
| CN104808342B (en) * | 2015-04-30 | 2017-12-12 | 杭州映墨科技有限公司 | The optical lens structure of the wearable virtual implementing helmet of three-dimensional scenic is presented |
| US10271042B2 (en) * | 2015-05-29 | 2019-04-23 | Seeing Machines Limited | Calibration of a head mounted eye tracking system |
| CN105979243A (en) * | 2015-12-01 | 2016-09-28 | 乐视致新电子科技（天津）有限公司 | Processing method and device for displaying stereo images |
| CN105979252A (en) * | 2015-12-03 | 2016-09-28 | 乐视致新电子科技（天津）有限公司 | Test method and device |
| CN105867606A (en) * | 2015-12-15 | 2016-08-17 | 乐视致新电子科技（天津）有限公司 | Image acquisition method and apparatus in virtual reality helmet, and virtual reality helmet |
| CN105869142A (en) * | 2015-12-21 | 2016-08-17 | 乐视致新电子科技（天津）有限公司 | Method and device for testing imaging distortion of virtual reality helmets |
| CN105787980B (en) * | 2016-03-17 | 2018-12-25 | 北京牡丹视源电子有限责任公司 | A kind of detection virtual reality shows the method and system of equipment field angle |
| CN106028013A (en) * | 2016-04-28 | 2016-10-12 | 努比亚技术有限公司 | Wearable device, display device, and display output adjusting method |
| CN105791789B (en) * | 2016-04-28 | 2019-03-19 | 努比亚技术有限公司 | The method of helmet, display equipment and adjust automatically display output |
| CN106441212B (en) * | 2016-09-18 | 2020-07-28 | 京东方科技集团股份有限公司 | Device and method for detecting field angle of optical instrument |
| CN106527733A (en) * | 2016-11-30 | 2017-03-22 | 深圳市虚拟现实技术有限公司 | Virtual-reality helmet distortion fitting-detecting method and device |
| CN106651954A (en) * | 2016-12-27 | 2017-05-10 | 天津科技大学 | Laser simulation method and device for space sight line benchmark |
-
2017
- 2017-07-05 CN CN201710543920.1A patent/CN108121068A/en active Pending
- 2017-07-05 CN CN201710544203.0A patent/CN107340595A/en active Pending
- 2017-07-05 CN CN201710544213.4A patent/CN107478412A/en not_active Withdrawn
- 2017-07-05 CN CN201710543924.XA patent/CN107357037A/en active Pending
- 2017-07-05 CN CN201710544195.XA patent/CN107329266A/en active Pending
- 2017-07-05 CN CN201710544210.0A patent/CN107544151A/en active Pending
- 2017-07-05 CN CN201710544199.8A patent/CN107544150A/en active Pending
- 2017-07-05 CN CN201710544196.4A patent/CN107315251A/en active Pending
- 2017-07-05 CN CN201710544200.7A patent/CN107479188A/en active Pending
- 2017-07-05 CN CN201710543941.3A patent/CN107390364A/en active Pending
- 2017-07-05 CN CN201710543925.4A patent/CN107329263A/en active Pending
- 2017-07-05 CN CN201710543944.7A patent/CN107544147A/en active Pending
- 2017-07-05 CN CN201710544198.3A patent/CN107544149A/en active Pending
- 2017-07-05 CN CN201710544211.5A patent/CN107300775A/en active Pending
- 2017-07-05 CN CN201710544204.5A patent/CN107464221A/en not_active Withdrawn
- 2017-07-05 CN CN201710543942.8A patent/CN107329264A/en active Pending
- 2017-07-05 CN CN201710544212.XA patent/CN107300776A/en active Pending
- 2017-07-05 CN CN201710543923.5A patent/CN107688387A/en active Pending
- 2017-07-05 CN CN201710544194.5A patent/CN107329265A/en active Pending
- 2017-07-05 CN CN201710544208.3A patent/CN107290854A/en active Pending
- 2017-07-05 CN CN201710544202.6A patent/CN107402448A/en active Pending
- 2017-07-05 CN CN201710543936.2A patent/CN107462991A/en active Pending
- 2017-07-05 CN CN201710543939.6A patent/CN107526167A/en active Pending
- 2017-07-05 CN CN201710544197.9A patent/CN107505708A/en active Pending
- 2017-07-05 CN CN201710544192.6A patent/CN107544148A/en active Pending
- 2017-07-05 CN CN201710543937.7A patent/CN107490861A/en active Pending
- 2017-07-05 CN CN201710544189.4A patent/CN107357039A/en not_active Withdrawn
- 2017-07-05 CN CN201710544201.1A patent/CN107291246A/en active Pending
- 2017-07-05 CN CN201710543938.1A patent/CN107357038A/en active Pending
- 2017-07-05 CN CN201710543918.4A patent/CN107687936A/en active Pending
- 2017-07-05 CN CN201710543922.0A patent/CN107462400A/en active Pending
- 2017-07-05 CN CN201710543865.6A patent/CN107702894A/en active Pending
- 2017-07-05 CN CN201710543919.9A patent/CN107422479A/en active Pending
- 2017-07-05 CN CN201710544205.XA patent/CN107315252A/en active Pending
- 2017-07-05 CN CN201710543921.6A patent/CN107300774A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108510549A (en) * | 2018-03-27 | 2018-09-07 | 京东方科技集团股份有限公司 | Distortion parameter measurement method and its device, the measuring system of virtual reality device |
| US10922795B2 (en) | 2018-03-27 | 2021-02-16 | Beijing Boe Optoelectronics Technology Co., Ltd. | Method and device for measuring distortion parameter of visual reality device, and measuring system |
Also Published As
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107329263A (en) | The method and device that the virtual implementing helmet depth of field is shown | |
| Rolland et al. | Towards quantifying depth and size perception in virtual environments | |
| US10277893B1 (en) | Characterization of optical distortion in a head mounted display | |
| CN108171673A (en) | Image processing method, device, vehicle-mounted head-up-display system and vehicle | |
| CN105828699B (en) | For measuring the device and method of subjective dioptric | |
| CN108989794B (en) | Virtual image information measuring method and system based on head-up display system | |
| CN106441822A (en) | Virtual reality headset distortion detection method and device | |
| CN106644404A (en) | Virtual reality helmet distortion complete machine detection method and device | |
| CN107888906A (en) | The detecting system of crosstalk, the detection method of crosstalk, storage medium and processor | |
| CN106644403A (en) | Lens distortion detection method and apparatus | |
| CN106527733A (en) | Virtual-reality helmet distortion fitting-detecting method and device | |
| CN106768878A (en) | Optical mirror slip distortion fitting and the method and device for detecting | |
| CN106445174A (en) | Virtual reality helmet distortion verification method and device | |
| CN206378270U (en) | The device of virtual implementing helmet distortion complete machine detection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20171107 |