DocumentCode :
2096847
Title :
Object Class Recognition using Quadrangles
Author :
Chia, Alex Y S ; Leung, Maylor K H ; Rajan, Deepu ; Rahardja, Susanto
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Nanyang
fYear :
2008
fDate :
28-30 May 2008
Firstpage :
213
Lastpage :
220
Abstract :
We present a new class of human psychology inspired descriptors that exhibits the ability to yield meaningful structural descriptions of an object. Our framework involves (1) detecting salient pairings of lines segments which are extracted from the line edge map of an image and (2) exploiting these pairs of line segments to construct the structural descriptors. Specifically, we integrate the spatial qualities of the line segments with the perceptually salient colors of the image to jointly identify the salient pairings of the line segments. We term such pairings of line segments as the quadrangles. By harnessing the spatial configurations and the geometrical relationships between the quadrangles, we design descriptors which characterize the local structures of an object. Promising recognition results of the four-legged animals are presented.
Keywords :
image segmentation; object recognition; four-legged animals; geometrical relationships; human psychology; line edge map; line segments; object class recognition; quadrangles; Brightness; Color; Computer vision; Feature extraction; Flowcharts; Humans; Image edge detection; Image segmentation; Psychology; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision, 2008. CRV '08. Canadian Conference on
Conference_Location :
Windsor, Ont.
Print_ISBN :
978-0-7695-3153-3
Type :
conf
DOI :
10.1109/CRV.2008.49
Filename :
4562113
Link To Document :
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