DocumentCode :
3378567
Title :
Region based on object recognition in 3D scenes
Author :
Xu, Lei ; Zhou, Yue ; Qingshan, Li
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2011
fDate :
1-2 Dec. 2011
Firstpage :
13
Lastpage :
16
Abstract :
In this paper, we present a novel object matching approach using the method considering both the similarity on regions and structure in its feature space. The previous works [1], [2] and [3] show that it´s possible to formulate the object matching problem as a linear programming problem. However, it remains an open problem how to better use the feature similarity and structure similarity at a same time. In our approach, the contour of the regions of the objects as well as the local structures of these regions in its feature space are considered as two parts of the object matching problem. Hongsheng, Li et al proposed an efficient way to solve these object matching problems by reducing the problem to a linear programming problem.
Keywords :
image matching; image recognition; linear programming; 3D scenes; feature space; linear programming problem; object matching approach; object recognition; Context; Detectors; Feature extraction; Linear programming; Object recognition; Shape; Vectors; contour; feature space; linear programming; local region representation; object matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Visual Surveillance (IVS), 2011 Third Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1834-2
Type :
conf
DOI :
10.1109/IVSurv.2011.6157013
Filename :
6157013
Link To Document :
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