| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
N. Paragios and R. Deriche
ABSTRACT
This paper presents a novel variational framework for dealing with frame partition problems in Computer Vision by the propagation of curves. This framework integrates boundary and regionbased frame partition modules under a curvebased energy framework, which aims at finding a set of min imal length curves that preserve three main properties: (i) they are regular and smooth, (ii) they are attracted by the boundary points (boundary based information), (ii) and they create a partition that is optimal accord ing to the expected region properties of the different hypotheses (region based information). The defined objective function is minimized using a gradient descent method. According to the obtained motion equations, the set of initial curves is propagated towards the best partition under the in fluence of boundary and regionbased forces, and being constrained by a regularity force. The changes of topology are naturally handled thanks to the level set implementation. Furthermore, a coupled multiphase propa gation is proposed that imposes the idea of mutually exclusive propagating curves, and increases the robustness as well as the convergence rate. The proposed framework has been validated using three important applications in Computer Vision, the tasks of image and supervised texture segmenta tion in lowlevel vision and the task of motion estimation and tracking in motion analysis. |
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