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ICIP
1999
IEEE
13 years 8 months ago
A Novel Fast Motion Estimation Method Based on Genetic Algorithm
Shen Li, Wei-Pu Xuhui Wang, Nan-Ning Zheng
ICRA
2008
IEEE
297views Robotics» more  ICRA 2008»
13 years 11 months ago
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method
— This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape an...
Yumi Iwashita, Ryo Kurazume, Kenji Hara, Seiichi U...
ICPR
2000
IEEE
14 years 5 months ago
Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models
Motion estimation in image sequences is an important step in many computer vision and image processing applications. Several methods for solving this problem have been proposed, b...
Gunnar Farnebäck
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
13 years 10 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
IJCV
2006
236views more  IJCV 2006»
13 years 4 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie