And then a Gray-Feather matching algorithm is put forward. According to some improvements in respect of real-time character, a good target recognition algorithm with low error probability in recognizing and high veracity is obtained.
本文在分析了现有的目标识别方法优缺点的基础上,提出了一种灰度与特征匹配相结合的识别方法,并从实时性等方面对算法进行了改进,得到了一种误识别率低、准确性高且能用于实时目标跟踪系统中的目标识别方法。
参考来源 - 一种灰度与特征匹配相结合的混合算法·2,447,543篇论文数据,部分数据来源于NoteExpress
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