Tensor voting: A perceptual organization approach to computer vision and machine learning

Synthesis Lectures on Image, Video, and Multimedia Processing

Volumn 8, Issue , 2006, Pages 1-136

  Mordohai, Philippos ^a   Medioni, Gérard ^b  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Computer vision; Dimensionality estimation; Figure completion; Function approximation; Machine learning; Manifold learning; Perceptual organization; Stereo vision; Tensor voting

Indexed keywords

DIMENSIONALITY ESTIMATION; FIGURE COMPLETION; FUNCTION APPROXIMATION; MANIFOLD LEARNING; PERCEPTUAL ORGANIZATION; TENSOR VOTING;

ALGORITHMS; APPROXIMATION THEORY; LEARNING SYSTEMS; PROBLEM SOLVING; TENSORS;

COMPUTER VISION;

EID: 33751105931     PISSN: 15598136     EISSN: 15598144     Source Type: Book Series    
DOI: 10.2200/S00049ED1V01Y200609IVM008     Document Type: Article

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