Multiple view feature descriptors from image sequences via kernel principal component analysis

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

Volumn 3021, Issue , 2004, Pages 215-227

  Meltzer, Jason ^a   Yang, Ming Hsuan ^b   Gupta, Rakesh ^b   Soatto, Stefano ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b HONDA RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER VISION; IMAGE ANALYSIS; IMAGE MATCHING; IMAGE PROCESSING; MOBILE ROBOTS; ROBOTS;

COMPACT REPRESENTATION; FEATURE DESCRIPTORS; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); MOBILE ROBOT NAVIGATION; MULTIPLE IMAGE; NON-PLANAR SURFACES; SMALL BASELINES; WIDE-BASELINE MATCHING;

PRINCIPAL COMPONENT ANALYSIS;

EID: 35048864308     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24670-1_17     Document Type: Article

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