CN106447636A - Noise elimination method and virtual reality device - Google Patents
Noise elimination method and virtual reality device Download PDFInfo
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Abstract
The embodiment of the invention relates to the technical field of virtual reality and discloses a noise elimination method and a virtual reality device. The noise elimination method comprises the following steps: collecting an infrared image, wherein the infrared image is an image illuminated by an infrared LED lamp; calculating the luminance level of a light spot on the infrared image, wherein the luminance level of the light spot is bright when a grey value of the light spot is more than a first threshold value and the luminance level of the light spot is dark when the grey value of the light spot is less than the first threshold value; and if the brightness proportion of the light spot on the infrared image exceeds a preset proportion scope, adjusting the first threshold value till the brightness proportion of the light spot is within the preset proportion scope. The invention also discloses the virtual reality device. According to the embodiment of the invention, a real-time adjusted threshold value is used for judging the brightness of the LED light spot, so as to eliminate the influence of the noise on the light spot detection, effectively identify the coded information and lastly realize the accurate positioning.
Description
Technical field
The present embodiments relate to technical field of virtual reality, set particularly to a kind of noise cancellation method and virtual reality
Standby.
Background technology
It is common color photographic head on the multiplexing VR helmet (but the light of this photographic head that handle position in virtual reality is followed the tracks of
Spectrum wave band will cover infrared), in photographic head outer covering infrared fileter, reach the effect of infrared camera.Have infrared on handle
LED, photographic head gathers LED light source, by the principle of monocular three-dimensional imaging, obtains the locus of handle.
Now, on handle LED bright with secretly illustrate certain coding, wherein, brightness is more than preset fixed threshold
For bright, brightness is dark less than predetermined threshold value.Effectively identify that these codings are equivalent to identify specific LED, in conjunction with it
The locus of itself, you can realize single eye stereo vision.
During realizing the present invention, inventor finds that in prior art, there are the following problems：Extracting LED light point
When, due to the factor such as mobile of handle, brightness changes with the impact of angle or movement velocity to lead to LED,
Reuse fixed threshold and judge the bright of luminous point and (the such as many LED points or lacked a LED point that secretly can introduce noise
Deng), thus leading to coding to be difficult to effectively identify, ultimately result in positioning inaccurate.
Content of the invention
The problem that embodiment of the present invention solves is to provide a kind of noise cancellation method and virtual reality device so that can
To eliminate the impact to luminous point for the noise, so can effective recognition coding information, realize being accurately positioned.
For solving above-mentioned technical problem, embodiments of the present invention provide a kind of noise cancellation method, including：Collection is red
Outer image；Wherein, the image that infrared image lights for infrared LED lamp；Calculate the brightness degree of the luminous point on infrared image；Its
In, the gray value of luminous point is bright more than the brightness degree of first threshold time point, and the gray value of luminous point is less than the first threshold time
The brightness degree of point is dark；If the light-dark ratio example of the luminous point on infrared image exceeds preset ratio scope, adjust described the
The value of one threshold value, until the light-dark ratio example of above-mentioned luminous point is in the range of preset ratio.
Embodiments of the present invention additionally provide a kind of virtual reality device, including：Infrared eye, processor and N
Individual infrared LED lamp；N is the natural number more than 1；Processor is connected with infrared eye；Infrared eye, red for gathering
Outer image；Wherein, the image that infrared image lights for infrared LED lamp；Processor, for calculating the bright of luminous point on infrared image
Degree grade；Wherein, the brightness degree that the gray value of luminous point is more than first threshold time point is bright, and the gray value of luminous point is less than first
The brightness degree of threshold value time point is dark；When the light-dark ratio example of the luminous point on infrared image exceeds preset ratio scope, process
Device, is additionally operable to adjust the value of first threshold, until the light-dark ratio example of luminous point is in the range of preset ratio.
Embodiment of the present invention in terms of existing technologies, by calculating the bright of luminous point on the infrared image that collects
Dark grade, and divide the bright dark grade of luminous point according to first threshold, by the light-dark ratio example of luminous point and default proportion
Relatively, and then the value of real-time adjustment first threshold, and according to the first threshold after adjustment, repartition the bright dark etc. of luminous point
Level, until the light-dark ratio example of luminous point is in the range of preset ratio, as such, it is possible to eliminate the impact that noise detects to luminous point, enters
And can effective recognition coding information, and finally realize being accurately positioned.
In addition, in the noise cancellation method of embodiment of the present invention, adjusting the value of described first threshold, until luminous point is bright
Dark ratio is in and specifically includes in the range of preset ratio：Adjust the value of first threshold between Second Threshold and the 3rd threshold value, directly
Light-dark ratio example to luminous point is in the range of preset ratio；Wherein, the 3rd threshold value is less than Second Threshold.Embodiment of the present invention is led to
Cross Second Threshold and the 3rd threshold value to limit the adjustable scope of first threshold, i.e. come between Second Threshold and the 3rd threshold value
The value of adjustment first threshold, so, is conducive to being more rapidly found suitable first threshold, and then accelerates positioning.
In addition, in embodiment of the present invention calculate infrared image on the brightness degree of luminous point before, also include：To red
Outer image carries out noise reduction process, obtains noise-reduced image；Wherein, in noise-reduced image, the gray value of pixel is all higher than the 3rd threshold value；
The brightness degree calculating the luminous point on infrared image specifically includes：Calculate the brightness degree of the luminous point on noise-reduced image.The present invention
Embodiment passes through to choose and retain the pixel that gray value in image is more than the 3rd threshold value, thus realizing to the noise reduction of image
Reason, and obtain noise-reduced image.
Brief description
Fig. 1 is the schematic flow sheet of noise cancellation method according to a first embodiment of the present invention；
Fig. 2 is the schematic flow sheet of noise cancellation method according to a second embodiment of the present invention；
Fig. 3 be according to a second embodiment of the present invention in Second Threshold method to set up schematic flow sheet；
Fig. 4 is the schematic flow sheet of noise cancellation method according to a third embodiment of the present invention；
Fig. 5 is the structural representation of virtual reality device according to a fourth embodiment of the present invention；
Fig. 6 is the structural representation of virtual reality device according to a fifth embodiment of the present invention.
Specific embodiment
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with each reality to the present invention for the accompanying drawing
The mode of applying is explained in detail.However, it will be understood by those skilled in the art that in each embodiment of the present invention,
In order that reader more fully understands that the application proposes many ins and outs.But, even if there is no these ins and outs and base
In following embodiment many variations and modification it is also possible to realize the application technical scheme required for protection.
Noise cancellation method in the embodiment of the present invention, is based primarily upon following system：Infrared eye, processor and
N number of infrared LED lamp, wherein N is the natural number more than 1, and N number of infrared LED lamp is arranged on handle, and above-mentioned processor is taken the photograph with infrared
As device connects.When the infrared LED lamp transmitting infrared light on handle, infrared eye shoots infrared image, infrared image
The bright of middle luminous point secretly illustrates certain coding, and the infrared image of infrared eye collection identifies above-mentioned coding by processor,
And then identification LED, the locus of handle are finally obtained according to vision localization algorithm.
The first embodiment of the present invention is related to a kind of noise cancellation method, as shown in figure 1, including：
Step 101：Collection infrared image, i.e. the infrared image of infrared light launched by infrared LED lamp, infrared eye is adopted
Collect above-mentioned infrared image, for example, in VR (virtual reality) system, the LED being arranged on handle launches the infrared figure of infrared light
Picture, the infrared eye being arranged on the helmet is used for gathering above-mentioned infrared image.
Step 102：Calculate the brightness degree of luminous point on infrared image.Wherein, when the gray value of luminous point is more than first threshold,
The brightness degree of luminous point is bright, and when the gray value of luminous point is less than first threshold, the brightness degree of luminous point is dark, such as when the first threshold
When being worth for 190, the gray value of luminous point is as bright for 200, and the gray value of luminous point is secretly for 80.Luminous point bright secretly carry default
Coding information.Such as, when luminous point is bright, the coding information carrying is 1, and when luminous point is dark, the coding information carrying is 0.
Step 103：Judge whether the light-dark ratio example of luminous point on infrared image exceeds preset ratio scope.If so, execute step
Rapid 104, otherwise terminate flow process.The value of first threshold pre-sets, and is the light-dark ratio example of luminous point on infrared image in advance
One proportion of setting, and then judge the light-dark ratio example of luminous point on the infrared image collecting whether beyond this default ratio
Scope, if judged result is beyond proportion, execution step 104, if judged result is without departing from proportion, terminates
Noise eliminates flow process.
Step 104：The value of adjustment first threshold.When the light-dark ratio example of luminous point on infrared image exceeds preset ratio scope
When, readjust the value of first threshold, afterwards return to step 103, recalculate the bright dark grade of luminous point on infrared image, until
The light-dark ratio example stating luminous point is in the range of preset ratio, obtains suitable infrared image.That is, when on infrared image luminous point bright
When dark ratio is without departing from preset ratio scope, then shows that noise jamming is less, noise jamming can not be considered, the infrared figure collecting
Picture is suitable infrared image.
Embodiment of the present invention in terms of existing technologies, by calculating the bright of luminous point on the infrared image that collects
Dark grade, and divide the bright dark grade of luminous point according to first threshold, by the light-dark ratio example of luminous point and default proportion
Relatively, and then the value of real-time adjustment first threshold, and according to the first threshold after adjustment, repartition the bright dark etc. of luminous point
Level, until the light-dark ratio example of luminous point is in the range of preset ratio, as such, it is possible to eliminate noise to a certain extent detect to luminous point
Impact, and then can effective recognition coding information, and finally realize being accurately positioned.
Second embodiment of the invention is related to a kind of noise cancellation method, as shown in Fig. 2 including：
Step 201：Collection infrared image.
Step 202：Pre-set the value of first threshold.It is usually the initial value that first threshold is rule of thumb set.
Step 203：Noise reduction process is carried out to infrared image, obtains noise-reduced image.Wherein, in noise-reduced image pixel ash
Angle value is all higher than described 3rd threshold value.Specifically, pre-set the value of the 3rd threshold value, gray value on infrared image is less than the 3rd
The gray value of the pixel of threshold value is set to zero, obtains noise-reduced image with this.As such, it is possible to the interference information in image is gone
Remove, follow-up treating capacity can be reduced, accelerate locating speed.
Step 204：Noise-reduced image is carried out with connected domain analysis, obtains luminous point.Specifically, can be to the picture on noise-reduced image
Vegetarian refreshments is numbered successively by row or column, and by same brightness grade and adjacent pixel is numbered into rower with same
Note, after traveling through all pixels point on noise-reduced image, can carry out connected domain analysis to noise-reduced image further, and then obtains light
Point.
Step 205：Calculate the brightness degree of luminous point on noise-reduced image.Wherein, on noise-reduced image, the gray value of luminous point is more than
During first threshold, the brightness degree of luminous point is bright, when the gray value of luminous point on noise-reduced image is less than first threshold, luminous point bright
Degree grade is dark.
Step 206：Judge whether the light-dark ratio example of luminous point on infrared image exceeds preset ratio scope.If judged result is
The light-dark ratio example of above-mentioned luminous point exceeds preset ratio scope, then execution step 207, if judged result is without departing from preset ratio model
Enclose, then terminate noise and eliminate flow process.
Step 207：The value of first threshold is adjusted between Second Threshold and the 3rd threshold value.Wherein, the 3rd threshold value is little all the time
In the value of Second Threshold, and the value less than first threshold；Continue execution step 205 after execution of step 207, until infrared image
The light-dark ratio example of upper luminous point is in the range of preset ratio.Embodiment of the present invention is limited by Second Threshold and the 3rd threshold value
Determine the adjustable scope of first threshold, i.e. to adjust the value of first threshold between Second Threshold and the 3rd threshold value, so, to have
It is beneficial to be more rapidly found suitable first threshold, and then accelerate positioning.
Specifically, before step 207, need first to arrange the value of Second Threshold, method to set up such as Fig. 3 of Second Threshold
Shown, including：
Step 301：Gather the first infrared image in predetermined time.Specifically, infrared eye is adopted in predetermined time
The infrared image of infrared light launched by collection infrared LED lamp, and using this infrared image as the first infrared image.
Step 302：In the first infrared image, find out the minimum luminous point of gray value.Specifically, processor is red by first
Light in outer image is pressed gray value and is sorted from high to low, and selects the minimum luminous point of gray value.
Step 303：The minimum luminous point of labelling gray value.
Step 304：Several moment collection infrared image after predetermined time.Specifically, infrared eye
The infrared image that infrared light launched by several infrared LED lamps is gathered after predetermined time.
Step 305：In the infrared image of several moment collection, find out the second infrared image.Specifically, some
In several infrared images of individual moment collection, processor can be found out in the luminous point of the corresponding LED of labeled luminous point and choose
The maximum luminous point of gray value, and the infrared image that this luminous point is located is as the second infrared image.
Step 306：Using the gray value of the luminous point of labelling in the second infrared image as Second Threshold.
Embodiment of the present invention, by pre-setting the value of the 3rd threshold value, carries out noise reduction process to infrared image, is dropped
Make an uproar image, thus decreasing affecting of the environmental noise that infrared image is subject to, and then, present embodiment is also carried out to noise-reduced image
The noise reduction process similar with first embodiment, is eliminated to a certain extent and is introduced with angle or movement velocity due to LED
The impact to luminous point for the noise, as such, it is possible to effective recognition coding information, and finally realize being accurately positioned.
Third embodiment of the invention is related to a kind of noise cancellation method, and third embodiment of the invention is in the second embodiment party
Do on the basis of formula and improved further, mainly theed improvement is that：Always according to luminous point in infrared image number whether pre-
If in number range, to adjust the value of the 3rd threshold value of noise reduction process, as such, it is possible to make positioning more accurate.
In present embodiment, as shown in figure 4, noise cancellation method includes：
Step 401：Gather infrared image according to predeterminated frequency.Infrared eye on the helmet is adopted according to default frequency
Collection infrared image, e.g., can be with 60 frames frequency collection per second.
Step 402：Pre-set the value of first threshold and the value of the 3rd threshold value.Specifically, it is spot number in infrared image
Mesh pre-sets certain value as the initial value of the 3rd threshold value.
Step 403：Calculate the number of luminous point in infrared image.Specifically, after to infrared image digitized processing, calculate figure
The number of the luminous point included in picture.
Step 404：Whether the number judging luminous point is in default number range.If judged result is above-mentioned number of spots
Not in the range of preset number, then execution step 407, if judged result is in the range of preset number for above-mentioned number of spots,
Then execution step 405.
Step 407：Adjust the 3rd threshold value.Specifically, when the number of luminous point on infrared image is not in the range of preset number
When, then adjust the 3rd threshold value, return to step 403 afterwards, continue to calculate the number of luminous point in infrared image.
Step 405：Calculate the number of luminous point in adjacent two frame infrared images.Specifically, in infrared image luminous point number
When mesh is in the range of preset number, calculate the number of luminous point in adjacent two frame infrared images.
Step 406：Judge whether the number of luminous point in adjacent two frame infrared images is identical.If judged result is adjacent two
In frame infrared image, the number of luminous point differs, then return execution step 407, if judged result is identical, execution step
408.It will be appreciated by those skilled in the art that the order of step 406 and step 404 can arbitrarily be arranged in no particular order；When
So it is also possible to only comprise step 406 or step 404, with specific reference to needing flexibly to be arranged, as long as enabling to reach
Adjust the purpose of the 3rd threshold value.
Step 408：Calculate the brightness degree of luminous point in infrared image.
Step 409：Judge whether the light-dark ratio example of luminous point on infrared image exceeds proportion.If so, then execution step
410, otherwise terminate flow process.
Step 410：The value of first threshold is adjusted between Second Threshold and the 3rd threshold value.When on infrared image luminous point bright
When dark ratio exceeds preset ratio scope, adjust the value of first threshold between Second Threshold and the 3rd threshold value, return step afterwards
Rapid 408, recalculate the brightness degree of luminous point on infrared image, until the light-dark ratio example of luminous point is in default ratio on infrared image
In the range of example.Specifically, if the light-dark ratio example of luminous point is more than preset ratio scope on infrared image, appropriateness tunes up the first threshold
The value of value, if on infrared image the light-dark ratio example of luminous point be less than first threshold value when, appropriateness turns the value of first threshold down, directly
Light-dark ratio example to luminous point meets the scope of preset ratio.The step-length adjusting the value of first threshold can pre-set.
Embodiment of the present invention, by the value of real-time adjustment the 3rd threshold value, the number of luminous point on infrared image is controlled
In default number range, otherwise, the image of collection is probably the image of mistake, because the number of the LED on handle is solid
Fixed, even in motion or different with respect to the position of infrared eye, the number of spots in infrared image is not yet
Can there are big rise and big fall, but concentrate in default number range.Meanwhile, by the adjacent two frame infrared images collecting
The number of luminous point adjusts in default number range, after above-mentioned process, then infrared image is carried out eliminate noise
Process, in this manner it is ensured that the infrared image that noise eliminates is correct image, it is to avoid flog a dead horse, and then raising noise disappears
The efficiency removed.
The step of various methods divides above, is intended merely to describe clear, can merge into when realizing a step or
Some steps are split, is decomposed into multiple steps, as long as comprising identical logical relation, all in the protection domain of this patent
Interior；To adding inessential modification in algorithm or in flow process or introducing inessential design, but do not change its algorithm
With the core design of flow process all in the protection domain of this patent.
Four embodiment of the invention is related to a kind of virtual reality device, as shown in figure 5, including：Infrared eye
501st, processor 502 and N number of infrared LED lamp 503, wherein N is the natural number more than 1, processor 502 and infrared eye
501 connections.
Specifically, infrared eye 501 is used for gathering the infrared image of infrared LED lamp 503 transmitting.Processor 502
For calculating the brightness degree of the luminous point on infrared image, wherein, when on infrared image, the gray value of luminous point is more than first threshold,
The brightness degree of luminous point is bright, and when the gray value of infrared light spot is less than first threshold, the brightness degree of luminous point is dark.When above-mentioned red
When the light-dark ratio example of the luminous point on outer image exceeds preset ratio scope, processor 502 is additionally operable to adjust the value of first threshold, directly
When the light-dark ratio example of the luminous point to infrared image is in the range of preset ratio, export above-mentioned infrared image.
In terms of existing technologies, processor can calculate the light on the infrared image collecting to embodiment of the present invention
The bright dark grade of point, and divide the bright dark grade of luminous point according to first threshold, by the light-dark ratio example of luminous point and default ratio
Example scope compares, and then, the value of real-time adjustment first threshold, and according to the first threshold after adjustment, repartition luminous point
Bright dark grade, until the light-dark ratio example of luminous point is in the range of preset ratio.Present embodiment, can eliminate to a certain extent and make an uproar
The impact that sound detects to luminous point, so can effective recognition coding information, and finally realize being accurately positioned.
It is seen that, present embodiment is the apparatus embodiments corresponding with first embodiment, and present embodiment can be with
First embodiment is worked in coordination enforcement.The relevant technical details mentioned in first embodiment still have in the present embodiment
Effect, in order to reduce repetition, repeats no more here.Correspondingly, the relevant technical details mentioned in present embodiment are also applicable in
In first embodiment.
Fifth embodiment of the invention is related to a kind of virtual reality device, and fifth embodiment of the invention is in the 4th embodiment party
Do on the basis of formula and improved further, mainly theed improvement is that：In present embodiment, processor can also be according to infrared figure
In picture, whether the number of luminous point adjusts the value of the 3rd threshold value of noise reduction process in the range of preset number, as such, it is possible to make to determine
Position is more accurate.
As shown in fig. 6, the virtual reality device in present embodiment includes：Infrared eye 501, processor 502, N
Individual infrared LED lamp 503, reception device 601 and dispensing device 602, wherein N is the natural number more than 1, and processor 502 passes through
Reception device 601, dispensing device 602 are connected with infrared eye 501, and wherein, processor 502 is connected with reception device 601,
Infrared eye 501 can be connected with dispensing device 602.
In present embodiment, infrared eye 501 can be used for gathering the infrared image of infrared LED lamp 503 transmitting, sends
Device 602 is used for for the infrared image of collection being sent to reception device 601, and then, it is sent to processor 502.Further, process
Device 502 can be used for calculating the number of luminous point on infrared image, and by adjusting the 3rd threshold value, makes the number of luminous point on infrared image
It is in the range of preset number.Processor 502 can be additionally used in calculating the number of luminous point in adjacent two frame infrared images, and by adjusting
Whole 3rd threshold value so that collection adjacent two frame infrared images in luminous point number identical.When light in adjacent two frame infrared images
When the number of point is identical, processor 502 can be additionally used in calculating the brightness degree of luminous point on infrared image.Wherein, on infrared image
When the gray value of luminous point is more than first threshold, the brightness degree of luminous point is bright, when the gray value of infrared light spot is less than first threshold,
The brightness degree of luminous point is dark.When the light-dark ratio example of the luminous point on above-mentioned infrared image exceeds preset ratio scope, processor
502 are additionally operable to adjust the value of first threshold, until the light-dark ratio example of the luminous point on infrared image is in the range of preset ratio
When, export above-mentioned infrared image.
Embodiment of the present invention, processor can pass through the value of real-time adjustment the 3rd threshold value, by luminous point on infrared image
Number controls in default number range, and otherwise, the image of collection is probably the image of mistake.Because the LED on handle
Number be fixing, even in motion or, light in infrared image different with respect to the position of infrared eye
Counting out also is not in big rise and big fall, but concentrates in default number range.Meanwhile, processor can also will collect
Adjacent two frame infrared images on luminous point number adjust in default number range, after above-mentioned process more right
Infrared image carries out eliminating the process of noise.In this manner it is ensured that the infrared image that noise eliminates is correct image, it is to avoid do
Idle work, and then improve the efficiency that noise eliminates.
It is seen that, present embodiment is the apparatus embodiments corresponding with the 3rd embodiment, and present embodiment can be with
3rd embodiment is worked in coordination enforcement.The relevant technical details mentioned in 3rd embodiment still have in the present embodiment
Effect, in order to reduce repetition, repeats no more here.Correspondingly, the relevant technical details mentioned in present embodiment are also applicable in
In 3rd embodiment.
It is noted that involved each module in present embodiment is logic module, in actual applications, one
Individual logical block can be a part for a physical location or a physical location, can also be with multiple physics lists
The combination of unit is realized.Additionally, for the innovative part projecting the present invention, will not be with solution institute of the present invention in present embodiment
The unit that the technical problem relation of proposition is less close introduces, but this is not intended that in present embodiment there are not other lists
Unit.
Device embodiment described above is only that schematically the wherein said unit illustrating as separating component can
To be or to may not be physically separate, as the part that unit shows can be or may not be physics list
Unit, you can with positioned at a place, or can also be distributed on multiple NEs.Can be selected it according to the actual needs
In the purpose to realize this embodiment scheme for some or all of module.Those of ordinary skill in the art are not paying creativeness
Work in the case of, you can to understand and to implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
Mode by software plus necessary general hardware platform to be realized naturally it is also possible to pass through hardware.Based on such understanding, on
That states that technical scheme substantially contributes to prior art in other words partly can be embodied in the form of software product, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD etc., including some fingers
Order is with so that a computer equipment (can be personal computer, server, or network equipment etc.) executes each enforcement
Example or some partly described methods of embodiment.
Finally it should be noted that：Above example only in order to technical scheme to be described, is not intended to limit；Although
With reference to the foregoing embodiments the present invention is described in detail, it will be understood by those within the art that：It still may be used
To modify to the technical scheme described in foregoing embodiments, or equivalent is carried out to wherein some technical characteristics；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (9)
1. a kind of noise cancellation method is it is characterised in that include：
Collection infrared image；Wherein, the image that described infrared image lights for infrared LED lamp；
Calculate the brightness degree of the luminous point on described infrared image；Wherein, the gray value of described luminous point is more than first threshold when institute
The brightness degree stating luminous point is bright, and when the gray value of described luminous point is less than described first threshold, the brightness degree of described luminous point is
Secretly；
If the light-dark ratio example of the luminous point on described infrared image exceeds preset ratio scope, adjust described first threshold
Value, until the light-dark ratio example of described luminous point is in the range of preset ratio.
2. noise cancellation method according to claim 1 is it is characterised in that the value of the described first threshold of described adjustment, directly
Light-dark ratio example to described luminous point is in inclusion in the range of preset ratio：
Adjust the value of described first threshold between Second Threshold and the 3rd threshold value, until described luminous point light-dark ratio example be in pre-
If in proportion；Wherein, described 3rd threshold value is less than described Second Threshold.
3. noise cancellation method according to claim 2 is it is characterised in that luminous point on the described infrared image of described calculating
Brightness degree before, also include：
Noise reduction process is carried out to described infrared image, obtains noise-reduced image；Wherein, in described noise-reduced image pixel gray value
It is all higher than described 3rd threshold value；
The described brightness degree calculating the luminous point on described infrared image includes：
Calculate the brightness degree of the luminous point on described noise-reduced image.
4. noise cancellation method according to claim 3 is it is characterised in that described carried out at noise reduction to described infrared image
Reason, obtains noise-reduced image and includes：
Gray value gray value in described infrared image being less than the pixel of described 3rd threshold value is set to zero, obtains described fall
Make an uproar image.
5. noise cancellation method according to claim 3 is it is characterised in that luminous point on the described noise-reduced image of described calculating
Brightness degree before, also include：
Described noise-reduced image is carried out with connected domain analysis, obtains described luminous point.
6. noise cancellation method according to claim 2 is it is characterised in that after described collection infrared image, also include：
Calculate the number of luminous point described in described infrared image；
If the number of described luminous point is not in the range of preset number, adjust described 3rd threshold value, until the number of described luminous point
Mesh is in the range of described preset number.
7. the noise cancellation method according to claim 2 or 6 is it is characterised in that described collection infrared image includes：
Gather described infrared image according to predeterminated frequency；
After described collection infrared image, also include：
Calculate the number of luminous point described in adjacent two frame infrared images；
If the number of the described luminous point in adjacent two frame infrared images differs, adjust described 3rd threshold value, until adjacent
The number of the described luminous point in two frame infrared images is identical.
8. noise cancellation method according to claim 2 it is characterised in that described between Second Threshold and the 3rd threshold value
Before adjusting the value of described first threshold, including：
Gather the first infrared image in predetermined time；
In described first infrared image, find out the minimum luminous point of gray value；
The minimum luminous point of gray value described in labelling；
Several moment collection infrared image after described predetermined time；
In the infrared image of several moment described collection, find out the second infrared image；Wherein, described second infrared image
In, the gray value of the luminous point of gray value minimum of labelling is maximum；
Using the gray value of the luminous point of labelling in described second image as described Second Threshold.
9. a kind of virtual reality device is it is characterised in that include：Infrared eye, processor and N number of infrared LED lamp；N is
Natural number more than 1；Described processor is connected with described infrared eye；
Described infrared eye, for gathering infrared image；Wherein, described infrared image is that described infrared LED lamp lights
Image；
Described processor, for calculating the brightness degree of the luminous point on described infrared image；Wherein, the gray value of described luminous point is big
When first threshold, the brightness degree of described luminous point is bright, described luminous point when the gray value of described luminous point is less than described first threshold
Brightness degree be dark；
When the light-dark ratio example of the luminous point on described infrared image exceeds preset ratio scope, described processor, it is additionally operable to adjust
The value of described first threshold, until the light-dark ratio example of described luminous point is in the range of preset ratio.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107564064A (en) * | 2017-09-12 | 2018-01-09 | 深圳市欢创科技有限公司 | A kind of anchor point, its coding method, localization method and its system |
| CN108564537A (en) * | 2017-12-29 | 2018-09-21 | 珠海市君天电子科技有限公司 | Method, apparatus, electronic equipment and the medium of image procossing |
| CN111277767A (en) * | 2020-02-21 | 2020-06-12 | 北京猎户星空科技有限公司 | Method and device for determining infrared control point, electronic equipment and storage medium |
| CN112155519A (en) * | 2020-09-25 | 2021-01-01 | 伏羲九针智能科技(北京)有限公司 | Automatic adjustment auxiliary device, adjustment method and equipment for hand back vein imaging quality |
| CN114489310A (en) * | 2020-11-12 | 2022-05-13 | 海信视像科技股份有限公司 | Virtual reality device and handle positioning method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120200747A1 (en) * | 2011-02-09 | 2012-08-09 | Olympus Corporation | Image signal processing apparatus and image signal processing method |
| CN105117016A (en) * | 2015-09-07 | 2015-12-02 | 众景视界（北京）科技有限公司 | Interaction handle used in interaction control of virtual reality and augmented reality |
-
2016
- 2016-09-30 CN CN201610875431.1A patent/CN106447636A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120200747A1 (en) * | 2011-02-09 | 2012-08-09 | Olympus Corporation | Image signal processing apparatus and image signal processing method |
| CN105117016A (en) * | 2015-09-07 | 2015-12-02 | 众景视界（北京）科技有限公司 | Interaction handle used in interaction control of virtual reality and augmented reality |
Non-Patent Citations (1)
| Title |
|---|
| AIRUOXUAN: "深度：三大头显都是如何做定位的？", 《新浪科技》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107564064A (en) * | 2017-09-12 | 2018-01-09 | 深圳市欢创科技有限公司 | A kind of anchor point, its coding method, localization method and its system |
| CN107564064B (en) * | 2017-09-12 | 2020-11-03 | 深圳市欢创科技有限公司 | Positioning point, coding method thereof, positioning method and system thereof |
| CN108564537A (en) * | 2017-12-29 | 2018-09-21 | 珠海市君天电子科技有限公司 | Method, apparatus, electronic equipment and the medium of image procossing |
| CN111277767A (en) * | 2020-02-21 | 2020-06-12 | 北京猎户星空科技有限公司 | Method and device for determining infrared control point, electronic equipment and storage medium |
| CN112155519A (en) * | 2020-09-25 | 2021-01-01 | 伏羲九针智能科技(北京)有限公司 | Automatic adjustment auxiliary device, adjustment method and equipment for hand back vein imaging quality |
| CN114489310A (en) * | 2020-11-12 | 2022-05-13 | 海信视像科技股份有限公司 | Virtual reality device and handle positioning method |
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