摘要
研究了人脸识别系统。基于拟人机器人人脸识别系统的工作流程,对人脸识别系统中人脸检测阶段所采用的Adaboost算法、人脸跟踪阶段采用的Camshift算法,以及人脸识别阶段所使用的PCA算法进行了探讨。采用了这些经典的算法后,该系统具有较高的识别率和系统性能。
Face recognition system is studied in this paper. Based on the workflow of face recognition system of humanoid robot, the Adaboost algorithm for face detection, Camshift algorithm for face tracking and PCA algorithm used in this face recognition system are discussed in detail. After applying these classical algorithms, it produces a higher recognition rate and good system performance.
出处
《计算机时代》
2012年第12期14-15,18,共3页
Computer Era
关键词
拟人机器人
人脸检测
人脸跟踪
人脸识别
humanoid robot
face detection
face tracking
face recognition
