Briese et al., 2008 - Google Patents
Line based reconstruction from terrestrial laser scanning dataBriese et al., 2008
- Document ID
- 11023889577552525206
- Author
- Briese C
- Pfeifer N
- Publication year
External Links
Snippet
The methods for reconstructing objects from dense point clouds, typically acquired by terrestrial laser scanning (TLS), are currently unsatisfying, especially from a geodetic perspective, for a number of reasons. Digitization in the point cloud lacks redundancy and …
- 238000000034 method 0 abstract description 43
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical means
- G01B11/24—Measuring arrangements characterised by the use of optical means for measuring contours or curvatures
- G01B11/25—Measuring arrangements characterised by the use of optical means for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K2209/19—Recognition of objects for industrial automation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yi et al. | Urban building reconstruction from raw LiDAR point data | |
Rocchini et al. | A low cost 3D scanner based on structured light | |
Zhang et al. | 3D mapping of discontinuity traces using fusion of point cloud and image data | |
Simonetto et al. | Rectangular building extraction from stereoscopic airborne radar images | |
Ugelmann | Automatic breakline detection from airborne laser range data | |
Drews et al. | Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds | |
CN111412842B (en) | Method, device and system for measuring cross-sectional dimension of wall surface | |
Vosselman | On the estimation of planimetric offsets in laser altimetry data | |
Jutzi et al. | Nearest neighbour classification on laser point clouds to gain object structures from buildings | |
Kang et al. | The change detection of building models using epochs of terrestrial point clouds | |
Maas | Closed solutions for the determination of parametric building models from invariant moments of airborne laserscanner data | |
Abate et al. | 3D painting documentation: evaluation of conservation conditions with 3D imaging and ranging techniques | |
Lari et al. | New approaches for estimating the local point density and its impact on LiDAR data segmentation | |
Bistacchi et al. | Digital outcrop model reconstruction and interpretation | |
Wujanz | Towards transparent quality measures in surface based registration processes: Effects of deformation onto commercial and scientific implementations | |
Park et al. | 3-D modeling of real-world objects using range and intensity images | |
Kampel et al. | Profile-based pottery reconstruction | |
Briese et al. | Line based reconstruction from terrestrial laser scanning data | |
Madhavan et al. | A computer vision based approach for 3D building modelling of airborne laser scanner DSM data | |
Yao et al. | Automatic scan registration using 3D linear and planar features | |
Grifoni et al. | 3D multi-modal point clouds data fusion for metrological analysis and restoration assessment of a panel painting | |
Hebel et al. | Pre-classification of points and segmentation of urban objects by scan line analysis of airborne LiDAR data | |
Lee et al. | Investigations into the influence of object characteristics on the quality of terrestrial laser scanner data | |
Yao et al. | Robust surface registration using N-points approximate congruent sets | |
Park et al. | Multi-peak range imaging for accurate 3D reconstruction of specular objects |