基于快速骨架提取的三维目标识别

针对三维目标识别问题,提出了一种基于快速骨架提取的方法。根据骨架所反映的目标拓扑结构,建立了不同目标局部结构之间的对应关系；而在对应的局部曲线段上,采用基于曲线配准的方法进行匹配；以各个局部匹配的成本之和评估不同目标的相似性.这种方法在目标出现一定程度的视觉变形时仍具有较好的识别效果,同时避免了基于曲线方法的匹配目标的局部,而忽略局部之间相互的空间组织的缺点所造成的误匹配.算例结果表明这种算法对于三维目标有较好的识别效果.

3D Target Recognition Based on Fast Skeleton Extraction

Aiming at the IR 3D target recognition question, a method based on fast skeleton extraction is proposed.Based on the topology structure of target reflected by the skeleton, the correspondence between different targets′ structural portions are established. Within the corresponding curve segments, curves are matched based on curve alignment, and the similarity is evaluated according to the sum of all the segments′ cost. This method performs well in the present of commonly occurring visual transformations. Moreover, incorrect correspondence introduced by curve match′s drawback, that is, curve matching tends to match local parts, and ignores the global view of how these parts are spatial arranged with respect to each other, can be avoided. Experimental results show that this algorithm has a rather good effect on 3D target recognition.