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Surfaces from Stereo: Integrating Feature Matching, Disparity Estimation, and Contour Detection
William Hoff,
Narendra Ahuja
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Siebel School of Computing and Data Science
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Dive into the research topics of 'Surfaces from Stereo: Integrating Feature Matching, Disparity Estimation, and Contour Detection'. Together they form a unique fingerprint.
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Keyphrases
Stereo
100%
Integrated Features
100%
Feature Matching
100%
Disparity Estimation
100%
Contour Detection
100%
Surface Interpolation
100%
Corresponding Features
66%
Ridge Contours
66%
Occluding Contours
66%
Depth Map
33%
Difficult Problem
33%
Multi-resolution
33%
Stereo Matching Algorithm
33%
Local Model
33%
Coarse-to-fine
33%
Occluded Region
33%
Stereo Pair
33%
Quadratic Patches
33%
Surface Map
33%
Stereo Images
33%
Planar Patches
33%
Contour Surface
33%
Distance Map
33%
Computer Science
Experimental Result
100%
stereo-image
100%
stereo pair
100%
Engineering
Experimental Result
100%
Local Model
100%
Disparity Estimation
100%