Iterative Human Facial Expression Modeling
作者： Antai Peng , Monson H. Hayes
DOI: 10.1007/3-540-60697-1_137
关键词: Facial expression 、 Distortion 、 Image coding 、 Iterative framework 、 Artificial intelligence 、 Genetic algorithm 、 Computer vision 、 Representation (mathematics) 、 Computer science
摘要: Human facial expression modeling and synthesis have recently become a very active area of research. This is partially due to its potential application in model-based image coding, as well the possibility using it enhance human-computer interactions. The majority research that has been done this focused on analysis, synthesis. Although good results obtained analysis synthesis, not much effort spent attempting synthesize images are natural looking. In paper, we describe our We propose an iterative framework uses genetic algorithm looking images. Facial representation distortion measures will also be discussed. Preliminary presented.
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