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» Nonconvex Regularization for Image Segmentation
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VLSM
2005
Springer
14 years 2 months ago
Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking
Abstract. In this paper, we propose a novel technique to address motion estimation and tracking. Such technique represents the motion field using a regular grid of thin-plate spli...
Konstantinos Karantzalos, Nikos Paragios
ICIP
2003
IEEE
14 years 10 months ago
Wavelet-based level set evolution for classification of textured images
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Jean-François Aujol, Gilles Aubert, Laure B...
PAMI
2007
253views more  PAMI 2007»
13 years 8 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
ICCV
2009
IEEE
1069views Computer Vision» more  ICCV 2009»
15 years 1 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
ICCV
2007
IEEE
14 years 10 months ago
Removing Non-Uniform Motion Blur from Images
We propose a method for removing non-uniform motion blur from multiple blurry images. Traditional methods focus on estimating a single motion blur kernel for the entire image. In ...
Sunghyun Cho, Yasuyuki Matsushita, Seungyong Lee