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IJCV
2007

Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion

8 years 8 months ago
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
Challenging object detection and segmentation tasks can be facilitated by the availability of a reference object. However, accounting for possible transformations between the different object views, as part of the segmentation process, remains difficult. Recent statistical methods address this problem by using comprehensive training data. Other techniques can only accommodate similarity transformations. We suggest a novel variational approach to prior-based segmentation, using a single reference object, that accounts for planar projective transformation. Generalizing the Chan-Vese level set framework, we introduce a novel shape-similarity measure and embed the projective homography between the prior shape and the image to segment within a region-based segmentation functional. The proposed algorithm detects the object of interest, extracts its boundaries, and concurrently carries out the registration to the prior shape. We demonstrate prior-based segmentation on a variety of images an...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where IJCV
Authors Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
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