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» A Unified Tensor Level Set for Image Segmentation
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CVIU
2004
115views more  CVIU 2004»
14 years 9 months ago
Context-dependent segmentation and matching in image databases
The content of an image can be summarized by a set of homogeneous regions in an appropriate feature space. When exact shape is not important, the regions can be represented by sim...
Hayit Greenspan, Guy Dvir, Yossi Rubner
DAGM
2003
Springer
15 years 2 months ago
A Generative Model Based Approach to Motion Segmentation
We address the question of how to choose between different likelihood functions for motion estimation. To this end, we formulate motion estimation as a problem of Bayesian inferen...
Daniel Cremers, Alan L. Yuille
IJCV
2008
172views more  IJCV 2008»
14 years 9 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann

Lecture Notes
2770views
16 years 6 months ago
Lectures on Medical Image Analysis
Easy and neat set of lecture notes in Medical Image Analysis taught at West Virginia University by Prof. Tim McGraw. It covers several famous computer vision techniques such as act...
Tim McGraw
ICIP
2007
IEEE
15 years 4 months ago
Multifocus Image Fusion by Establishing Focal Connectivity
Multifocus fusion is the process of unifying focal information from a set of input images acquired with limited depth of field. In this effort, we present a general purpose multif...
Harishwaran Hariharan, Andreas Koschan, Mongi A. A...