An Investigation on the Nonrigid Body Optical Flow Estimation Based on Genetic Algorithm

LI Jun-bo; WAN Ming-xi

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An Investigation on the Nonrigid Body Optical Flow Estimation Based on Genetic Algorithm

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- An Investigation on the Nonrigid Body Optical Flow Estimation Based on Genetic Algorithm
- Acta Electronica Sinica Vol. 29, Issue 1, Pages: 41-43(2001)
- 作者机构：
  
  西安交通大学电信学院生物医学工程系,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2001
- 稿件说明：
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LI Jun-bo, WAN Ming-xi. An Investigation on the Nonrigid Body Optical Flow Estimation Based on Genetic Algorithm[J]. Acta Electronica Sinica, 2001, 29(1): 41-43.
DOI：

LI Jun-bo, WAN Ming-xi. An Investigation on the Nonrigid Body Optical Flow Estimation Based on Genetic Algorithm[J]. Acta Electronica Sinica, 2001, 29(1): 41-43. DOI：

摘要

本文提出了一种可用于非刚性体的基于遗传算法(Genetic Algorithm

GA)的光流场估计方法

将非刚性体分割为共同运动的微元

利用遗传算法对各运动参数进行优化估计.随后

研究了该方法在生物组织运动估计中的应用.实验结果表明:本方法具有鲁棒性好、全局搜索能力强、收敛速度快和可用于非刚性体运动估计等优点.

Abstract

In this paper a genetic algorithm (GA) based method for optical flow estimation of nonrigid object is presented.The nonrigid body is divided into several infinitesimal patches in which the pixels move together.The motion parameters of the patches are optimally estimated using GA method.The application of this method in motion estimation of biological tissues is also analyzed.The experimental results show that this method has the advantages of robustness

global optimality and high convergent speed and it is feasible for optical flow estimation of nonrigid body.

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