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» A New Bayesian Method for Range Image Segmentation
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CVPR
2007
IEEE
13 years 10 months ago
Topology-preserving Geometric Deformable Model on Adaptive Quadtree Grid
Topology-preserving geometric deformable models (TGDMs) are used to segment objects that have a known topology. Their accuracy is inherently limited, however, by the resolution of...
Ying Bai, Xiao Han, Jerry L. Prince
IJCV
2006
192views more  IJCV 2006»
13 years 9 months ago
Piecewise-Smooth Dense Optical Flow via Level Sets
We propose a new algorithm for dense optical flow computation. Dense optical flow schemes are challenged by the presence of motion discontinuities. In state of the art optical flo...
Tomer Amiaz, Nahum Kiryati
ICCV
2011
IEEE
12 years 9 months ago
Automated Articulated Structure and 3D Shape Recovery from Point Correspondences
In this paper we propose a new method for the simultaneous segmentation and 3D reconstruction of interest point based articulated motion. We decompose a set of point tracks into r...
Joao Fayad, Chris Russell, Lourdes Agapito
CVPR
2006
IEEE
14 years 11 months ago
An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking
The detection and tracking of three-dimensional human body models has progressed rapidly but successful approaches typically rely on accurate foreground silhouettes obtained using...
Alexandru O. Balan, Michael J. Black
ECCV
2000
Springer
14 years 10 months ago
Non-parametric Model for Background Subtraction
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
Ahmed M. Elgammal, David Harwood, Larry S. Davis