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» Top down image segmentation using congealing and graph-cut
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ICPR
2008
IEEE
13 years 11 months ago
Top down image segmentation using congealing and graph-cut
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
CVPR
2010
IEEE
14 years 1 months ago
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
Yong Jae Lee, Kristen Grauman
PAMI
2010
190views more  PAMI 2010»
13 years 3 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
PAMI
2008
250views more  PAMI 2008»
13 years 4 months ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman
ECCV
2002
Springer
14 years 6 months ago
Class-Specific, Top-Down Segmentation
In this paper we present a novel class-based segmentation method, which is guided by a stored representation of the shape of objects within a general class (such as horse images). ...
Eran Borenstein, Shimon Ullman