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» Non-Stationarity Detection in Natural Images
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CVPR
2012
IEEE
13 years 2 months ago
Exploiting local and global patch rarities for saliency detection
We introduce a saliency model based on two key ideas. The first one is considering local and global image patch rarities as two complementary processes. The second one is based o...
Ali Borji, Laurent Itti
98
Voted
ICPR
2006
IEEE
16 years 26 days ago
Finding Text in Natural Scenes by Figure-Ground Segmentation
Much past research on finding text in natural scenes uses bottom-up grouping processes to detect candidate text features as a first processing step. While such grouping procedures...
Huiying Shen, James Coughlan
ICASSP
2011
IEEE
14 years 3 months ago
Polar randomized hough transform for lane detection using loose constraints of parallel lines
In this paper, we propose a new methodology for detecting lane markers that exploits the parallel nature of lane boundaries on the road. First, the input image is pre-processed an...
Amol Borkar, Monson Hayes, Mark T. Smith
ICIP
2009
IEEE
14 years 9 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler
117
Voted
BMVC
2010
14 years 9 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele