Model Based 3-D Object Recognition
基于模型的三维物体识别

A model based 3 D object recognition system is realized. The system can extract the relational face graph of the object in the origional image, then by matching the relational face graph with the one in the modle base, the system can recognize what kind of object is in the image. If the stereo images of one scene are given, the system can accurately establish the correspondence between the two images using higher level knowledge about the scene. In addition, the characteristic matching method has been proposed. The main idea of this method is to recognize the object by using the faces which can best represent the characteristics of the object. The robustness of the system has been proven by experiments.