摘要
在人脸识别系统中,随着人脸图像库的增大,人脸检索速度和鉴别精度会急剧下降,为达到良好的系统性能,必须兼顾这两个方面。对K-Medoids算法进行优化的基础上,提出一种簇半径渐增的搜索策略,使人脸识别系统在检索速度和鉴别精度上得到提高。
With the increasing size of face database in face recognition system, the search speed and the identification accuracy decrease sharply. In order to achieve the desirable system performance, the two problems have to be considered. Presents a Cluster Radius Enlarging search strategy based on the optimized K-Medoids algorithm. With this method, the performance of the system in speed and accuracy is improved while identifying face.
出处
《现代计算机》
2009年第4期59-62,共4页
Modern Computer
