【摘要】 提出了一类新的V描述子,对二维图形进行V变换提取形状信息,并定义归一化后的变换系数为描述子,其具有旋转、平移、缩放不变性,通过形状主方向在一定程度上消除了起始点的影响.通过快速V变换可以有效地计算出V描述子,该识别算法采用加权欧氏距离,并充分利用了V描述子的多分辨率分析特性,对轻微遮挡具有一定的抵抗力,可以根据实际情况达到较好的识别.更多还原

【Abstract】 In this paper,we present a novel V-system descriptor for 2D models;the descriptor is invariant against the rotation,translation,scale transform,and can remove the effect of the arbitrary start point of the shape through the principal orientation.We show that V-system descriptor can be computed efficiently by the fast V-system transformation,and be good at using multi resolution analysis through weighted Euclidean distance.So the new V-system descriptor has some resistance to slightly occlusion,and may achieve good recognition property according to the actual situation.更多还原