Discriminative learning for deformable shape segmentation: A comparative study

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

Volumn 5302 LNCS, Issue PART 1, 2008, Pages 711-724

  Zhang, Jingdan ^a,b   Zhou, Shaohua Kevin ^a   Comaniciu, Dorin ^a   McMillan, Leonard ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DEFORMATION; IMAGE SEGMENTATION;

COMPARATIVE STUDIES; DISCRIMINATIVE LEARNING; DISCRIMINATIVE MODELS; ENERGY MINIMIZATION METHODS; FACIAL FEATURE POINTS; FITTING FUNCTIONS; HIGH-DIMENSIONAL LEARNING; LEARNING FRAMEWORKS;

LEARNING SYSTEMS;

EID: 56749170534     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88682-2_54     Document Type: Conference Paper

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