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ECCV
2004
Springer
14 years 11 months ago
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
Paolo Favaro, Martin Burger, Stefano Soatto
ECCV
2010
Springer
13 years 10 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
ICCV
2009
IEEE
1069views Computer Vision» more  ICCV 2009»
15 years 2 months ago
An efficient algorithm for Co-segmentation
This paper is focused on the Co-segmentation problem [1] – where the objective is to segment a similar object from a pair of images. The background in the two images may be ar...
Dorit S. Hochbaum, Vikas Singh
TIP
2010
89views more  TIP 2010»
13 years 4 months ago
Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction
Nonconvex nonsmooth regularization has advantages over convex regularization for restoring images with neat edges. However, its practical interest used to be limited by the difficu...
Mila Nikolova, Michael K. Ng, Chi-Pan Tam
SIAMIS
2010
155views more  SIAMIS 2010»
13 years 4 months ago
Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization
Image restoration problems are often converted into large-scale, nonsmooth and nonconvex optimization problems. Most existing minimization methods are not efficient for solving su...
Xiaojun Chen, Weijun Zhou