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» Generalized Gradients: Priors on Minimization Flows
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IJCV
2007
144views more  IJCV 2007»
13 years 10 months ago
Generalized Gradients: Priors on Minimization Flows
This paper tackles an important aspect of the variational problem underlying active contours: optimization by gradient flows. Classically, the definition of a gradient depends d...
Guillaume Charpiat, Pierre Maurel, Jean-Philippe P...
SGP
2007
14 years 1 months ago
Generalized surface flows for mesh processing
Geometric flows are ubiquitous in mesh processing. Curve and surface evolutions based on functional minimization have been used in the context of surface diffusion, denoising, sha...
Ilya Eckstein, Jean-Philippe Pons, Yiying Tong, C....
ICIP
2006
IEEE
15 years 16 days ago
Active Contour Segmentation with a Parametric Shape Prior: Link with the Shape Gradient
Active contours are adapted to image segmentation by energy minimization. The energies often exhibit local minima, requiring regularization. Such an a priori can be expressed as a...
Eric Debreuve, Michel Barlaud, Jean-Paul Marmorat,...
CVPR
2008
IEEE
14 years 19 days ago
Single-image vignetting correction using radial gradient symmetry
In this paper, we present a novel single-image vignetting method based on the symmetric distribution of the radial gradient (RG). The radial gradient is the image gradient along t...
Yuanjie Zheng, Jingyi Yu, Sing Bing Kang, Stephen ...
CVIU
2008
180views more  CVIU 2008»
13 years 11 months ago
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images
Topology is an important prior in many image segmentation tasks. In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology p...
Yun Zeng, Dimitris Samaras, Wei Chen, Qunsheng Pen...