基于小波分析的人脸定位算法在AmI中的应用

为了提高环绕智能个性化系统中人脸定位子系统的性能,更好地体现AmI系统无所不在的服务和隐藏计算的概念,提出了基于小波分析的人脸实时定位算法.首先将采集的图像经肤色模型预处理获得整个脸部信息,然后应用小波分析定位头发区域几何形状,结合先验知识获取头发几何概率模型.最后将此模型应用于AmI实时定位跟踪系统中,从而实现了AmI用户的个性化视频服务.实验结果表明,该算法在AmI系统中实时性好,定位准确率高.

Face Orientation Algorithm Applied to AmI Based on Wavelet Analysis

In order to increase the performance of human face orientation nested in individual AmI (Ambient intelligence) system and to reflect the concept of AmI serving anywhere and hidden computing,an algorithm of face orientation based on wavelet is proposed here.First,the position information of face was obtained from a lot of real-time acquired images that were preprocessed by skin-model.Second,using wavelet analysis located the geometrical shape of hair area,and then combining prior knowledge gained the hair geometric probability model.Finally,this model was applied to the AmI system of real-time position and tracing so as to implement the individual video service for the AmI users.The results show that the proposed algorithm is capable of locating the human face orientation in the AMI system with good performance of real-time and high accuracy of positioning.