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基于图像序列的非刚性物体运动形变程度估计方法
引用本文:汪亚明,郑俊褒,王玉平,石信增,王芳.基于图像序列的非刚性物体运动形变程度估计方法[J].电路与系统学报,2011,16(1):64-68.
作者姓名:汪亚明  郑俊褒  王玉平  石信增  王芳
作者单位:浙江理工大学信息电子学院,浙江杭州,310018
基金项目:国家自然科学基金资助项目,浙江省自然科学基金重点项目
摘    要:形变程度的定量分析是非刚性物体运动研究中一个重要问题.现有的形变程度估计方法一般都假设特征点位置误差是各向同性,并且不考虑特征点数据丢失的问题.通常事实并非如此,所以本文提出一种同时考虑图像的方向性误差和特征点数据丢失问题的形变程度估计方法.理论研究和人活动图像序列的实验表明,本文提出方法十分有效.

关 键 词:非刚性物体  图像序列  形变程度

Deformation degree estimation of the non-rigid shape motion from image sequence
WANG Ya-ming,ZHENG Jun-bao,WANG Yu-ping,SHI Xin-zeng,WANG Fang.Deformation degree estimation of the non-rigid shape motion from image sequence[J].Journal of Circuits and Systems,2011,16(1):64-68.
Authors:WANG Ya-ming  ZHENG Jun-bao  WANG Yu-ping  SHI Xin-zeng  WANG Fang
Affiliation:WANG Ya-ming,ZHENG Jun-bao,WANG Yu-ping,SHI Xin-zeng,WANG Fang(College of Informatics and Electronics,Zhejiang Sci-Tech University,Hangzhou 310018,China)
Abstract:Quantitative characterization of the deformation degree is very important to properly estimate the non-rigid shape motion.The existing deformation degree estimation methods assume the uncertainty in a point position isotropicly and not consider the missing data problem.The assumption are usually not the case,so we provide a method for deformation degree estimation taking the factor of directionality uncertainty and missing data into account.Theoretical analysis and experimental results from human activities...
Keywords:non-rigid shape  image sequence  deformation degree  
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