Latent hough transform for object detection

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

Volumn 7574 LNCS, Issue PART 3, 2012, Pages 312-325

  Razavi, Nima ^a   Gall, Juergen ^b   Kohli, Pushmeet ^c   Van Gool, Luc ^a,d  

^a ETH ZURICH   (Switzerland)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^c MICROSOFT RESEARCH   (United Kingdom)

^d UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FALSE POSITIVE; IMAGE FEATURES; LATENT VARIABLE; LEARNING SCHEMES; OBJECT DETECTION; SINGLE OBJECT; STATE-OF-THE-ART PERFORMANCE; TRANSFORM-BASED METHODS;

BENCHMARKING; COMPUTER VISION; EQUIVALENCE CLASSES; HOUGH TRANSFORMS; OBJECT RECOGNITION;

FEATURE EXTRACTION;

EID: 84867873611     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33712-3_23     Document Type: Conference Paper

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