Latent-class Hough forests for 3D object detection and pose estimation

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

Volumn 8694 LNCS, Issue PART 6, 2014, Pages 462-477

  Tejani, Alykhan ^a   Tang, Danhang ^a   Kouskouridas, Rigas ^a   Kim, Tae Kyun ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLUTTER (INFORMATION THEORY); ITERATIVE METHODS; OBJECT RECOGNITION; TEMPLATE MATCHING;

ACCURATE ESTIMATION; BACKGROUND CLUTTER; CLASS DISTRIBUTIONS; INFERENCE PROCESS; NEGATIVE SAMPLES; REGRESSION FORESTS; SEGMENTATION MASKS; STATE OF THE ART;

FORESTRY;

ALGORITHMS; FORESTRY; INFORMATION RETRIEVAL; PATTERN RECOGNITION;

EID: 84906355478     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10599-4_30     Document Type: Conference Paper

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