Xue et al., 2016 - Google Patents
A DAISY descriptor based multi-view stereo method for large-scale scenesXue et al., 2016
- Document ID
- 166724157991743814
- Author
- Xue B
- Cao L
- Han D
- Bai X
- Zhou F
- Jiang Z
- Publication year
- Publication venue
- Journal of Visual Communication and Image Representation
External Links
Snippet
Normalized cross-correlation (NCC) has been widely used as the matching cost function in multi-view stereo methods. However, NCC is vulnerable in the occlusion area and edge region of large-scale scenes because of color distortion and illumination changes. To …
- 241000132023 Bellis perennis 0 abstract description 45
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
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- 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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- 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
- G06T2207/10004—Still image; Photographic image
-
- 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
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
-
- 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
-
- 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
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Nishida et al. | Procedural modeling of a building from a single image | |
Hamzah et al. | Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph segmentation | |
JP7115846B2 (en) | Generate Segmented Image Using Markov Random Field Optimization | |
Furukawa et al. | Multi-view stereo: A tutorial | |
Basha et al. | Multi-view scene flow estimation: A view centered variational approach | |
Xu et al. | Tree-based morse regions: A topological approach to local feature detection | |
Montesinos et al. | Matching color uncalibrated images using differential invariants | |
Fraundorfer et al. | Piecewise planar scene reconstruction from sparse correspondences | |
Irschara et al. | Large-scale, dense city reconstruction from user-contributed photos | |
Zhu et al. | Accurate and occlusion-robust multi-view stereo | |
Kim et al. | Block world reconstruction from spherical stereo image pairs | |
GB2566443A (en) | Cross-source point cloud registration | |
Hu et al. | IMGTR: Image-triangle based multi-view 3D reconstruction for urban scenes | |
Yu et al. | A portable stereo vision system for whole body surface imaging | |
Li et al. | Laplacian fusion approach of multi-source point clouds for detail enhancement | |
Hadfield et al. | Stereo reconstruction using top-down cues | |
Xue et al. | A DAISY descriptor based multi-view stereo method for large-scale scenes | |
Serati et al. | Digital surface model generation from high-resolution satellite stereo imagery based on structural similarity | |
Tylecek et al. | Depth map fusion with camera position refinement | |
Kim et al. | Automatic registration of LiDAR and optical imagery using depth map stereo | |
Wang et al. | Robustifying relative orientations with respect to repetitive structures and very short baselines for global SfM | |
Xie et al. | Intrinsic decomposition for stereoscopic images | |
Lyra et al. | Development of an efficient 3D reconstruction solution from permissive open-source code | |
Ylimäki et al. | Fast and accurate multi‐view reconstruction by multi‐stage prioritised matching | |
Guan et al. | Estimation of camera pose with respect to terrestrial LiDAR data |