[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Hallek et al., 2018 - Google Patents

Real time stereo matching using two step zero-mean SAD and dynamic programing

Hallek et al., 2018

Document ID
4505433142832004293
Author
Hallek M
Boukamcha H
Smach F
Atri M
Publication year
Publication venue
2018 15th International Multi-Conference on Systems, Signals & Devices (SSD)

External Links

Snippet

Dense depth map extraction is a dynamic research field in a computer vision that tries to recover three-dimensional information from a stereo image pair. A large variety of algorithms has been developed. The local methods based on block matching that are prevalent due to …
Continue reading at ieeexplore.ieee.org (other versions)

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
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T2207/10012—Stereo images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • 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
    • 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
    • G06K9/34—Segmentation of touching or overlapping patterns in the image field
    • G06K9/342—Cutting or merging image elements, e.g. region growing, watershed, clustering-based techniques
    • 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
    • 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
    • G06T15/00—3D [Three Dimensional] image rendering
    • 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

Similar Documents

Publication Publication Date Title
Wang et al. A region based stereo matching algorithm using cooperative optimization
US8249333B2 (en) Segmenting image elements
Hamzah et al. Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph segmentation
Mei et al. On building an accurate stereo matching system on graphics hardware
Cigla et al. Information permeability for stereo matching
Zhang et al. Robust stereo matching with surface normal prediction
Loghman et al. SGM-based dense disparity estimation using adaptive census transform
Stier et al. Finerecon: Depth-aware feed-forward network for detailed 3d reconstruction
Gupta et al. Real-time stereo matching using adaptive binary window
Abd Manap et al. Disparity refinement based on depth image layers separation for stereo matching algorithms
Ben-Ari et al. Stereo matching with Mumford-Shah regularization and occlusion handling
Hallek et al. Real time stereo matching using two step zero-mean SAD and dynamic programing
Gong et al. Near-real-time stereo matching with slanted surface modeling and sub-pixel accuracy
Georgoulas et al. A real-time occlusion aware hardware structure for disparity map computation
Gong Real-time joint disparity and disparity flow estimation on programmable graphics hardware
Lei et al. A new multiview spacetime-consistent depth recovery framework for free viewpoint video rendering
Lin et al. High-resolution multi-view stereo with dynamic depth edge flow
Dong et al. Patchmvsnet: Patch-wise unsupervised multi-view stereo for weakly-textured surface reconstruction
Gupta et al. A correlation-based approach for real-time stereo matching
Zhu et al. Hybrid scheme for accurate stereo matching
Kang et al. Improving disparity estimation based on residual cost volume and reconstruction error volume
Jama et al. Augmenting graph cut with TV-L 1 approach for robust stereo matching
San et al. Feature based disparity estimation using hill-climbing algorithm
Zhong et al. Displacement-invariant cost computation for efficient stereo matching
Xu et al. Efficient contrast invariant stereo correspondence using dynamic programming with vertical constraint