Oh et al., 2012 - Google Patents
Probabilistic Correspondence Matching using Random Walk with Restart.Oh et al., 2012
View PDF- Document ID
- 15568871276899610839
- Author
- Oh C
- Ham B
- Sohn K
- Publication year
- Publication venue
- BMVC
External Links
Snippet
This paper presents a probabilistic method for correspondence matching with a framework of the random walk with restart (RWR). The matching cost is reformulated as a corresponding probability, which enables the RWR to be utilized for matching the …
- 238000005295 random walk 0 title abstract description 19
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
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- 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
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- 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
- G06K9/36—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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/001—Image restoration
-
- 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
- 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
- G06T15/00—3D [Three Dimensional] image rendering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhan et al. | Spatial fusion gan for image synthesis | |
Hamzah et al. | Stereo matching algorithm based on per pixel difference adjustment, iterative guided filter and graph segmentation | |
Guney et al. | Displets: Resolving stereo ambiguities using object knowledge | |
Zhang et al. | Meshstereo: A global stereo model with mesh alignment regularization for view interpolation | |
Yamaguchi et al. | Robust monocular epipolar flow estimation | |
Yang et al. | Fast stereo matching using adaptive guided filtering | |
US20180255283A1 (en) | Information processing apparatus and information processing method | |
Cigla et al. | Information permeability for stereo matching | |
Lu et al. | PatchMatch filter: edge-aware filtering meets randomized search for visual correspondence | |
Kok et al. | A review on stereo vision algorithm: Challenges and solutions | |
Loghman et al. | SGM-based dense disparity estimation using adaptive census transform | |
Zhu et al. | Stereo matching algorithm with guided filter and modified dynamic programming | |
Yang | Local smoothness enforced cost volume regularization for fast stereo correspondence | |
Zhang et al. | Robust stereo matching with surface normal prediction | |
US20060228002A1 (en) | Simultaneous optical flow estimation and image segmentation | |
Oh et al. | Probabilistic Correspondence Matching using Random Walk with Restart. | |
Wang et al. | Decomposed guided dynamic filters for efficient rgb-guided depth completion | |
Zhao et al. | Geofill: Reference-based image inpainting with better geometric understanding | |
Kim et al. | Multiscale feature extractors for stereo matching cost computation | |
Bapat et al. | The domain transform solver | |
Kong et al. | Stereo Matching via Learning Multiple Experts Behaviors. | |
Li et al. | Exploiting multi-direction features in MRF-based image inpainting approaches | |
Morreale et al. | Dense 3D visual mapping via semantic simplification | |
Helala et al. | Accelerating cost volume filtering using salient subvolumes and robust occlusion handling | |
CN105931231A (en) | Stereo matching method based on full-connection random field combination energy minimization |