TY - GEN
T1 - Contextual saliency
AU - Fan, Jialue
AU - Wu, Ying
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84862935172&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862935172&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2011.6115928
DO - 10.1109/VCIP.2011.6115928
M3 - Conference contribution
AN - SCOPUS:84862935172
SN - 9781457713200
T3 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
BT - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
T2 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
Y2 - 6 November 2011 through 9 November 2011
ER -