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ECCV
2006
Springer
16 years 1 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
MVA
2007
216views Computer Vision» more  MVA 2007»
14 years 11 months ago
Pose estimation for objects with planar surfaces using eigenimage and range data analysis
In this paper we present a novel method for estimating the object pose for 3D objects with welldefined planar surfaces. Specifically, we investigate the feasibility of estimating...
Ovidiu Ghita, Paul F. Whelan, David Vernon, John M...
CVPR
2008
IEEE
16 years 1 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...
CVBIA
2005
Springer
15 years 5 months ago
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICPR
2008
IEEE
15 years 6 months ago
Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection
This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines...
Min Li, Zhaoxiang Zhang, Kaiqi Huang, Tieniu Tan