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CVPR
2003
IEEE
15 years 11 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
CVPR
2007
IEEE
15 years 11 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs
ICPR
2008
IEEE
14 years 10 months ago
Towards estimation of dense disparities from stereo images containing large textureless regions
Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most a...
Rohith MV, Gowri Somanath, Chandra Kambhamettu, Ca...
ICCV
2009
IEEE
16 years 2 months ago
Context by Region Ancestry
In this paper, we introduce a new approach for modeling visual context. For this purpose, we consider the leaves of a hierarchical segmentation tree as elementary units. Each le...
Joseph J. Lim, Pablo Arbelaez, Chunhui Gu, and Jit...
87
Voted
CIARP
2006
Springer
15 years 1 months ago
Color Texture Segmentation by Decomposition of Gaussian Mixture Model
Abstract. Recently we have proposed Gaussian mixtures as a local statistical model to synthesize artificial textures. We describe the statistical dependence of pixels of a movable ...
Jiri Grim, Petr Somol, Michal Haindl, Pavel Pudil