Model globally, match locally: Efficient and robust 3D object recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 998-1005

  Drost, Bertram ^a   Ulrich, Markus ^a   Navab, Nassir ^b   Ilic, Slobodan ^b  

^a MVTEC SOFTWARE GMBH   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D OBJECT; 3D OBJECT RECOGNITION; FEATURE SPACE; GLOBAL MODELS; LOCAL INFORMATION; MODEL POINTS; NOVEL METHODS; PARTIAL OCCLUSIONS; POINT CLOUD; POINT DESCRIPTORS; RECOGNITION PERFORMANCE; RECOGNITION RATES; STATE-OF-THE-ART APPROACH; TWO-DIMENSIONAL SEARCH; VOTING SCHEMES;

CLOUDS; COMPUTER VISION; OBJECT RECOGNITION;

THREE DIMENSIONAL;

EID: 77955994030     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540108     Document Type: Conference Paper

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