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» A Generative Model Based Approach to Motion Segmentation
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ICCV
2003
IEEE
14 years 1 months ago
Meshfree Particle Method
Many of the computer vision algorithms have been posed in various forms of differential equations, derived from minimization of specific energy functionals, and the finite eleme...
Huafeng Liu, Pengcheng Shi
BMVC
2002
13 years 10 months ago
Low Density Feature Point Matching for Articulated Pose Identification
We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...
Horst Holstein, Baihua Li
DPHOTO
2009
189views Hardware» more  DPHOTO 2009»
13 years 6 months ago
Automatic background generation from a sequence of images based on robust mode estimation
In this paper, we present a novel method for generating a background model from a sequence of images with moving objects. Our approach is based on non-parametric statistics and ro...
Desire Sidibé, Olivier Strauss, William Pue...
MICCAI
2007
Springer
14 years 9 months ago
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models
In this paper, we propose a fully automatic method for the coupled 3D localization and segmentation of lower abdomen structures. We apply it to the joint segmentation of the prosta...
Hervé Delingette, María Jimena Costa...
WSC
2001
13 years 9 months ago
Improving standardized time series methods by permuting path segments
We describe an extension procedure for constructing new standardized time series procedures from existing ones. The approach is based on averaging over sample paths obtained by pe...
James M. Calvin, Marvin K. Nakayama