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» Iterative MAP and ML Estimations for Image Segmentation
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ICIP
2007
IEEE
13 years 6 months ago
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang
ICIP
2010
IEEE
13 years 3 months ago
Hyper-DEMIX: Blind source separation of hyperspectral images using local ML estimates
We propose a new method to unmix hyperspectral images. Our method exploits the structure of the material abundance maps by assuming that in some regions of the spatial dimension, ...
Simon Arberet
CVPR
2008
IEEE
14 years 7 months ago
Stereo reconstruction with mixed pixels using adaptive over-segmentation
We present an over-segmentation based, dense stereo algorithm that jointly estimates segmentation and depth. For mixed pixels on segment boundaries, the algorithm computes foregro...
Yuichi Taguchi, Bennett Wilburn, C. Lawrence Zitni...
CVPR
2006
IEEE
13 years 12 months ago
A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions
This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3...
Michael De Smet, Rik Fransens, Luc J. Van Gool
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 4 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes