Stentoumis et al., 2013 - Google Patents
A local adaptive approach for dense stereo matching in architectural scene reconstructionStentoumis et al., 2013
View PDF- Document ID
- 4079110935395090657
- Author
- Stentoumis C
- Grammatikopoulos L
- Kalisperakis I
- Petsa E
- Karras G
- Publication year
- Publication venue
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
External Links
Snippet
In recent years, a demand for 3D models of various scales and precisions has been growing for a wide range of applications; among them, cultural heritage recording is a particularly important and challenging field. We outline an automatic 3D reconstruction pipeline, mainly …
- 230000003044 adaptive 0 title description 6
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
- 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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hamzah et al. | Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph segmentation | |
Stentoumis et al. | On accurate dense stereo-matching using a local adaptive multi-cost approach | |
Vogiatzis et al. | Video-based, real-time multi-view stereo | |
Bleyer et al. | A layered stereo matching algorithm using image segmentation and global visibility constraints | |
Shi et al. | High-accuracy stereo matching based on adaptive ground control points | |
Gong et al. | A performance study on different cost aggregation approaches used in real-time stereo matching | |
CN102804231B (en) | Piecewise planar reconstruction of three-dimensional scenes | |
Banno et al. | Disparity map refinement and 3D surface smoothing via directed anisotropic diffusion | |
Stentoumis et al. | A local adaptive approach for dense stereo matching in architectural scene reconstruction | |
Hu et al. | Least commitment, viewpoint-based, multi-view stereo | |
CN107657644B (en) | Sparse scene flows detection method and device under a kind of mobile environment | |
Xue et al. | Multi-frame stereo matching with edges, planes, and superpixels | |
Bebeselea-Sterp et al. | A comparative study of stereovision algorithms | |
Haq et al. | An edge-aware based adaptive multi-feature set extraction for stereo matching of binocular images | |
Yang et al. | Stereo matching using epipolar distance transform | |
Chen et al. | A color-guided, region-adaptive and depth-selective unified framework for Kinect depth recovery | |
Wang et al. | Feature Based Stereo Matching Using Two‐Step Expansion | |
Papadakis et al. | Multi-label depth estimation for graph cuts stereo problems | |
Wang et al. | Real-time depth image acquisition and restoration for image based rendering and processing systems | |
Gong et al. | Near-real-time stereo matching with slanted surface modeling and sub-pixel accuracy | |
Patel et al. | Comprehensive study and review of image mosaicing methods | |
Stentoumis et al. | Implementing an adaptive approach for dense stereo-matching | |
Zuo et al. | Explicit modeling on depth-color inconsistency for color-guided depth up-sampling | |
Kim et al. | Automatic registration of LiDAR and optical imagery using depth map stereo | |
Liao et al. | High completeness multi-view stereo for dense reconstruction of large-scale urban scenes |