A Survey of Facial Expression Recognition Methods
نویسندگان
چکیده
منابع مشابه
A Survey of Facial Expression Recognition Methods
Facial expression recognition (anger, sad, happy, disgust, surprise, fear expressions) is application of advanced object detection, pattern recognition and classification task. Facial expression is one of the most powerful and natural means for human beings to show their emotions. It has found its applications in humancomputer interaction (HCI), robotics, border security systems, forensics, mac...
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----------------------------------------------------------------***-----------------------------------------------------------------Abstract The automatic Facial Expression Recognition has been one of the latest research topic since 1990's. Face Expression plays an important role in human communication. This paper presents a high-level overview of automatic expression recognition; it highlights...
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Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کاملA Survey on Facial Expression Recognition
When I was very young, I read a very interesting article about a very famous Bangladeshi artist Zainul Abedin[17]. The story was about a young Zainul facing the language barrier when he went to abroad without knowing the language of that country. One day he went to a local diner and found out no body in that diner knew english while Zainul didn’t know the local language. So Zainul improvised an...
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Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...
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ژورنال
عنوان ژورنال: IOSR Journal of Engineering
سال: 2014
ISSN: 2278-8719,2250-3021
DOI: 10.9790/3021-04430105