一种新的适合于目标识别的仿射不变量

NEW AFFINE INVARIANTS FOR TARGET RECOGNITION

针对仿射变换所造成的某些特征点提取不稳定，提出一种新的适合于目标识别的仿射不变量，它是基于特征点和几乎不受仿射变换影响的目标轮廓线．当目标无遮挡时，新不变量仅依赖于当前特征点和整个轮廓线；当目标有遮挡时，新不变量依赖于当前特征点、与它直接相邻的两个特征点以及它们之间的轮廓线．在已有的基于特征点的仿射不变量中，新不变量所依赖的特征点是最少的，可以很好地应用于特征点提取不稳定场合的目标识别．

To alleviate the influence of the unstability of extracting some feature points caused by affine transforms, new affine invariants for target recognition were proposed, which are based on feature points and the boundary that is almost unaffected by affine transforms. New invariants depend on the current feature point and the whole boundary when the target is not occluded and on the current feature point, two directly neighboring ones and the boundary between them when the target is occluded. New invariants depend on the least feature points among the affine invariants based on feature points, which helps to apply them to the situation that the extraction of feature points is unstable.