CAJ | 학술논문

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.
침대전국곡선필배재폐새목표식별중불재가행,제출료일충용우폐새목표식별적부분대부분곡선필배방법.수선,구조료일개목표륜곽국부형상특정묘술자칭지위방사불변곡선묘술자(AICD),타기우일개곡선방사불변량급기무부호적분,구유방사불변특성;기차,결합AICD화기우곡솔령교차점적방사불변곡선분할방안,급출료일개방사변환하적곡선필배산법.실험표명해산법대우존재방사변형화부분폐새적목표식별유효차우우현유적곡선필배방법.
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.