Abstract：A multi-pose face recognition algorithm based on a hierarchical model and fusion decision is proposed in the paper. First, face images are divided into several classes based on their poses and every class into many sub-classes based on their subjects. Then, traditional face recognition technology based on eigenface is applied in the process of face recognition in every class. Finally, fusion decision is adopted to get the final result of face recognition based on the intermediate result of every class. It also, can get the result of its pose recognition and its computation time is far less than that of the traditional methods. The algorithm discussed above has been tested in the experiments of a multi-pose face database with total 100 subjects and 1200 face images, which consists of ORL, UMIST, Stirling and face database of authors’ lab. The results are encouraging.
朱长仁; 王润生. 基于层次模型和融合决策的多姿态人脸识别技术[J]. 电子与信息学报, 2002, 24(11): 1447-1453 .
Zhu Changren; Wang Runsheng. Multi-pose face recognition based on a hierarchical model and fusion decision. , 2002, 24(11): 1447-1453 .
2002, Vol. 24 
