Object recognition by discriminative combinations of line segments, ellipses, and appearance features

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 34, Issue 9, 2012, Pages 1758-1772

  Chia, Alex Yong Sang ^a   Rajan, Deepu ^b   Leung, Maylor Karhang ^c   Rahardja, Susanto ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c UNIVERSITI TUNKU ABDUL RAHMAN   (Malaysia)

Author keywords

appearance features; category level object detection.; image classification; Shape primitives

Indexed keywords

APPEARANCE FEATURES; CONTOUR-BASED METHODS; GENERIC NATURE; GENERIC SHAPES; GEOMETRICAL PROPERTY; HYBRID METHOD; LINE SEGMENT; OBJECT CLASS; OBJECT DETECTION; OBJECT SIZE; RECOGNITION METHODS; SHAPE PRIMITIVES; STORAGE REQUIREMENTS; VARIABLE NUMBER;

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; IMAGE CLASSIFICATION;

OBJECT RECOGNITION;

EID: 84865588666     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.220     Document Type: Article

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