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» Minimal solutions for generic imaging models
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CVIU
2007
125views more  CVIU 2007»
13 years 7 months ago
Graph regularization for color image processing
Nowadays color image processing is an essential issue in computer vision. Variational formulations provide a framework for color image restoration, smoothing and segmentation prob...
Olivier Lezoray, Abderrahim Elmoataz, Sébas...
BMVC
2001
13 years 10 months ago
Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation
We address the problem of non-rigid motion and correspondence estimation in 3D images in the absense of prior domain information. A generic framework is utilized in which a soluti...
Pavel Laskov, Chandra Kambhamettu
ECCV
2004
Springer
14 years 9 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
EMMCVPR
2003
Springer
14 years 27 days ago
using Prior Shape and Points in Medical Image Segmentation
Abstract. In this paper we propose a new variational framework for image segmentation that incorporates the information of expected shape and a few points on the boundary into geod...
Yunmei Chen, Weihong Guo, Feng Huang, David Cliffo...
ICVGIP
2004
13 years 9 months ago
On Learning Shapes from Shades
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee...