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ECCV
2004
Springer

Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation

11 years 11 days ago
Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation
Abstract. We propose a variational framework for the integration multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functional with respect to both a level set function and a (vector-valued) labeling function, we jointly generate a segmentation (by the level set function) and a recognition-driven partition of the image domain (by the labeling function) which indicates where to enforce certain shape priors. Our framework fundamentally extends previous work on shape priors in level set segmentation by directly addressing the central question of where to apply which prior. It allows for the seamless integration of numerous shape priors such that ? while segmenting both multiple known and unknown objects ? the level set process may selectively use specific shape knowledge for simultaneously enhancing segmentation and recognizing shape.
Daniel Cremers, Nir A. Sochen, Christoph Schnö
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2004
Where ECCV
Authors Daniel Cremers, Nir A. Sochen, Christoph Schnörr
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