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» A probabilistic framework for image segmentation
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IJCV
2006
105views more  IJCV 2006»
13 years 7 months ago
A Metric Approach to Vector-Valued Image Segmentation
We address the issue of low-level segmentation of vector-valued images, focusing on the case of color natural images. The proposed approach relies on the formulation of the problem...
Pablo Andrés Arbeláez, Laurent D. Co...
ICCV
2009
IEEE
15 years 25 days ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
ICRA
2003
IEEE
167views Robotics» more  ICRA 2003»
14 years 1 months ago
Local exploration: online algorithms and a probabilistic framework
— Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of v...
Volkan Isler, Sampath Kannan, Kostas Daniilidis
CVPR
2003
IEEE
14 years 10 months ago
Probabilistic Tracking in Joint Feature-Spatial Spaces
In this paper we present a probabilistic framework for tracking regions based on their appearance. We exploit the feature-spatial distribution of a region representing an object a...
Ahmed M. Elgammal, Ramani Duraiswami, Larry S. Dav...
CVPR
2006
IEEE
14 years 10 months ago
Segmentation by Level Sets and Symmetry
Shape symmetry is an important cue for image understanding. In the absence of more detailed prior shape information, segmentation can be significantly facilitated by symmetry. How...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen