用于3-D物体分类的广义判别函数

3 D Objects Classification Based on the General Discrimination Function

提出一种可实现３Ｄ物体分类的广义判别函数，模拟表明利用ＲＢＦ函数（ＲＢＦ：ＲａｄｉａｌＢａｓｉｓＦｕｎｃｔｉｏｎ）组成的广义判别函数对于３Ｄ目标的识别是很有效的，此方法简单，训练时间短，当识别系统采用并行处理数据时，不论是训练时间还是识别时间都很短，并提出一个利用此广义判别函数分类多个３Ｄ物体的光电混合系统。

A General discrimination function used to classify 3 D objects is proposed in this paper. The computer simulation shows that the general discriminal function which is constructed by RBF function is very effective for classifying 3 D objects. It has not only short learning time but also short classifying time when the information is processed parallelly in the system. An optoelectronics system is proposed to implement this general discrimination function.