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ECCV
2006
Springer
14 years 10 months ago
Learning and Incorporating Top-Down Cues in Image Segmentation
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
Xuming He, Richard S. Zemel, Debajyoti Ray
SIAMIS
2010
395views more  SIAMIS 2010»
13 years 7 months ago
A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior
Abstract. In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge o...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
SCALESPACE
1999
Springer
14 years 1 months ago
Scales in Natural Images and a Consequence on their Bounded Variation Norm
This paper introduces a new method for analyzing scaling phenomena in natural images, and draws some consequences as to whether natural images belong to the space of functions with...
Luis Alvarez, Yann Gousseau, Jean-Michel Morel
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
14 years 1 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
CVPR
2008
IEEE
14 years 11 months ago
Multi-label image segmentation via point-wise repetition
Bottom-up segmentation tends to rely on local features. Yet, many natural and man-made objects contain repeating elements. Such structural and more spread-out features are importa...
Gang Zeng, Luc J. Van Gool