Facial expression analysis is rapidly becoming an area of intense interest in computer science and human-computer interaction design communities. The most expressive way humans display emotions is through facial expressions. One of America famous psychologist named Albert said:when a man shows his emotions, his words carrying 7 percent of emotions, his tune carrying 38 percent
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With the unremitting research of face detection technology in recent years, face detection technology has been greatly developed, and it gradually becomes an independent research project. People are often the most suitable objects which should be monitored in most video surveillance systems, and people’s face owns the most important features to be identified for a
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Face detection and recognition are very active research directions in computer vision and pattern recognition fields, which can be widely used in some Safety departments, Intelligent entrance guard system and so on. Classical face recognition algorithms are good solutions. But when dealing with large-scale data, there are some shortcomings such as memory limitation, too long
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Face detection means to detecte face from the image or video background in accordance with certain strategy. Because of its important applications in security access control,content-based retrieval,video conferencing,facial expression recognition and other fields,face detection have begun to be a very active research topic on the field of computer vision and pattern recognition in recent years.
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Organism feature recognition using the human body inherent characteristics for authentication can greatly improve the security, and reduce the possibility of forging and stealing identification card. The face recognition technology which has traits of non-contact recognition, strong initiative and friendly operation by using face image as the object, has gradually become a new and developing
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Computer vision is one of the most challenging fields. Since it has huge development potential, computer vision has been attracting many researchers to explore and study it in depth. With the development of computer performance and popularity of electronic product, the human-eyes location has become an important research issue in computer vision, which is very
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Face detection, which is one of the essential part in face information processing, has been a basic and important research theme in the field of computer vision, pattern recognition and human-computer interaction. AdaBoost method for frontal-view face detection proposed by Viola P. and Jones M. is a turning point in the history of face detection.
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Facial expression recognition gradually becomes a hot topic among artificial emotion, artificial psychology and pattern recognition. The purpose of facial expression recognition is to let the computer have the ability: communicating through facial expressions. If the computer can recognize human facial expression, it is easy to build a natural and harmonious environment for human-computer interaction.
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Face recognition technology,as an important field of pattern recognition,Face detection is the premise of rapid and accurate face recognition,its purpose is detecting the face from a picture background.In color images,the skin–color is the important information of face,,Using skin color information to detect human face in colorful image is quick and practicable,but is not accurate.The paper
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Research on face detection focused on detecting speed and reducing false detection rate. Viola’s face detection method which based on integral image and AdaBoost method is a great development in face detection area after artificial neural network method presented by Rowley. Microsoft Research presents FloatBoost algorithm, which is based on floating search, backtrack and AdaBoost
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