期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2010
卷号：1
期号：6
DOI：10.14569/IJACSA.2010.010622
出版社：Science and Information Society (SAI)
摘要：Face replacement system plays an important role in the entertainment industries. However, most of these systems nowadays are assisted by hand and specific tools. In this paper, a new face replacement system for automatically replacing a face with image processing technique is described. The system is divided into two main parts: facial feature extraction and face pose estimation. In the first part, the face region is determined and the facial features are extracted and located. Eyes, mouth, and chin curve are extracted by their statistical and geometrical properties. These facial features are used as the information for the second part. A neural network is adopted here to classify the face pose according to the feature vectors which are obtained from the different ratio of facial features. From the experiments and some comparisons, they show that this system works better while dealing with different pose, especially for non-frontal face pose.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Facial feature; Face replacement; Neural network; Support vector machine (SVM)
