DocumentCode :
2821264
Title :
Contextual saliency
Author :
Fan, Jialue ; Wu, Ying
Author_Institution :
EECS Dept., Northwestern Univ., Evanston, IL, USA
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Matching local salient points is limited in some computer vision problems (e.g., wide baseline point matching and its applications), since local features vary dramatically under large view changes. In this paper, we propose a new definition on salient points which includes context information around the given point. The proposed contextual salient points are extracted based on the geometry structure of the manifold embedded in the image feature space. Experimental results show the benefit of contextual salient points over local salient points.
Keywords :
computer vision; image matching; computer vision; contextual saliency; image feature space; matching local salient points; Context; Detectors; Feature extraction; Histograms; Manifolds; Probes; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
Type :
conf
DOI :
10.1109/VCIP.2011.6115928
Filename :
6115928
Link To Document :
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