Shape- and pose-invariant correspondences using probabilistic geodesic surface embedding

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6835 LNCS, Issue , 2011, Pages 256-265

  Tsoli, Aggeliki ^a   Black, Michael J ^b  

^a BROWN UNIVERSITY   (United States)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D OBJECT; GEODESIC DISTANCES; INTRINSIC CHARACTERISTICS; JOINT PROBABILISTIC; LOCAL SHAPE; LOOPY BELIEF PROPAGATION; NON-RIGID; NON-RIGID DEFORMATION; OBJECT MATCHING; POSE VARIATION; SHAPE VARIATIONS; STATE-OF-THE-ART METHODS; TRIANGULAR MESHES; VERTEX PAIRS;

CONTENT BASED RETRIEVAL; DEFORMATION; GEODESY; PATTERN RECOGNITION;

THREE DIMENSIONAL;

EID: 80052973089     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23123-0_26     Document Type: Conference Paper

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