3D point correspondence by minimum description length in feature space

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

Volumn 6313 LNCS, Issue PART 3, 2010, Pages 621-634

  Chen, Jiun Hung ^a   Zheng, Ke Colin ^b   Shapiro, Linda G ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b MICROSOFT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FUNCTION EVALUATION; GRADIENT METHODS; PETROLEUM RESERVOIR EVALUATION; PRINCIPAL COMPONENT ANALYSIS;

GENERALIZATION ABILITY; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); MINIMUM DESCRIPTION LENGTH; NONLINEAR PROPERTIES; OBJECTIVE FUNCTIONS; POINT CORRESPONDENCE; RECONSTRUCTION ERROR; STATISTICAL SHAPE MODEL;

VECTOR SPACES;

EID: 78149306600     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15558-1_45     Document Type: Conference Paper

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