Symmetric 3D Objects are an Easy Case for 2D Object Recognition

Spatial Vision

Volumn 8, Issue 4, 1994, Pages 443-453

  Vetter, Thomas ^a   Poggio, Tomaso ^b  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; IMAGING TECHNIQUES; MATHEMATICAL MODELS; THEOREM PROVING; THREE DIMENSIONAL;

BILATERALLY SYMMETRIC OBJECTS; EUCLIDEAN STRUCTURE; OBJECT RECOGNITION; TWO DIMENSIONAL MODEL;

PATTERN RECOGNITION;

ALGORITHM; ARTICLE; DEPTH PERCEPTION; HUMAN; PATTERN RECOGNITION; PHYSIOLOGY;

ALGORITHMS; FORM PERCEPTION; HUMAN; PATTERN RECOGNITION, VISUAL; SPACE PERCEPTION; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, NON-P.H.S.;

EID: 0028672042     PISSN: 01691015     EISSN: 15685683     Source Type: Journal    
DOI: 10.1163/156856894X00107     Document Type: Article

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