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Stereo matching using epipolar distance transform
Qingxiong Yang,
Narendra Ahuja
National Center for Supercomputing Applications (NCSA)
Electrical and Computer Engineering
Siebel School of Computing and Data Science
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Keyphrases
Low Texture
100%
Stereo Matching
100%
Epipolar Line
100%
Distance Transform
100%
Texture Regions
80%
Transformed Image
40%
Reconstruction Accuracy
20%
Low Computational Complexity
20%
Frames per Second
20%
Middlebury
20%
Image Intensity
20%
Stereo Matching Algorithm
20%
Laptop Computer
20%
Relative Location
20%
Intensity Value
20%
Indoor Image
20%
Outdoor Images
20%
Affine-invariant
20%
Image Transform
20%
Planar Segmentation
20%
Keypoint Description
20%
Keypoint Detection
20%
Video Graphics Array
20%
Computer Science
Stereo Matching
100%
Transformed Image
100%
Distance Transform
100%
Computational Complexity
50%
Experimental Result
50%
Laptop Computer
50%
Reconstruction Accuracy
50%
Image Intensity
50%
Affine Invariant
50%
Relative Location
50%
Intensity Value
50%