文章基本信息

标题：FACE ALIGNMENT BASED ON SEMI-ACTIVE APPEARANCE MODE
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作者：YAN shi-liang
期刊名称：International Journal on Smart Sensing and Intelligent Systems
印刷版ISSN：1178-5608
出版年度：2014
卷号：7
期号：4
页码：1493-1515
出版社：Massey University
摘要：In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semi-active appearance model is proposed, which has an simple calculation and higher accuracy of identification. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.