闭塞目标识别中的仿射不变曲线匹配  

Affine Invariant Curve Matching for Occluded Object Recognition

作　　者：付辉敬[1] 田铮[1] 冉茂华 康召辉 

机构地区：[1]西北工业大学理学院,西安710129 [2]解放军第二炮兵指挥学院,武汉430012

出　　处：《光电工程》2013年第3期122-128,共7页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(60972150;10926197;61201323)

摘　　要：针对全局曲线匹配在闭塞目标识别中不再可行,提出了一种用于闭塞目标识别的部分对部分曲线匹配方法。首先,构造了一个目标轮廓局部形状特征描述子称之为仿射不变曲线描述子(AICD),它基于一个曲线仿射不变量及其无符号积分,具有仿射不变特性;其次,结合AICD和基于曲率零交叉点的仿射不变曲线分割方案,给出了一个仿射变换下的曲线匹配算法。实验表明该算法对于存在仿射变形和部分闭塞的目标识别有效且优于现有的曲线匹配方法。A part-to-part curve matching approach for occluded object recognition is proposed since the global curve matching methods perform infeasible in occluded object recognition. First, a local curve feature descriptor called Affine Invariant Curve Descriptor （AICD） is constructed to represent the local shape of a curve. It is affine invariant based on curve affine invariant signature and its unsigned integral. Then, combining AICD with a curve segmentation strategy based on curvature zero crossing point, an affine invariant curve matching algorithm is developed. Experiments demonstrate that the proposed algorithm exhibits effectiveness in object recognition with affine deformation and partial occlusion and outperforms the state-of-art curve matching methods.

关 键 词：闭塞目标识别 曲线仿射不变量 仿射不变曲线描述子 部分对部分曲线匹配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]