A framework for 3D object recognition using the kernel constrained mutual subspace method

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

Volumn 3852 LNCS, Issue , 2006, Pages 315-324

  Fukui, Kazuhiro ^a   Stenger, Björn ^b   Yamaguchi, Osamu ^b  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b TOSHIBA CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

HIGH-DIMENSIONAL FEATURE; KERNEL CONSTRAINED MUTUAL SUBSPACE METHOD (KCMSM); KERNEL GENERALIZED DIFFERENCE SUBSPACE; MUTUAL SUBSPACE METHOD;

COGNITIVE SYSTEMS; CONSTRAINT THEORY; FEATURE EXTRACTION; PATTERN RECOGNITION SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

OBJECT RECOGNITION;

EID: 33744930580     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11612704_32     Document Type: Conference Paper

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