Facial Expression Recognition using Hybrid Texture Features based Ensemble Classifier
نویسندگان
چکیده
منابع مشابه
Facial Expression Recognition using Hybrid Texture Features based Ensemble Classifier
Communication is fundamental to humans. In the literature, it has been shown through many scientific research studies that human communication ranges from 54 to 94 percent is non-verbal. Facial expressions are the most of the important part of the non-verbal communication and it is the most promising way for people to communicate their feelings and emotions to represent their intentions. Pervas...
متن کاملFacial Expression Recognition Using Texture Features
Shalu Gupta, Indu Bala ECE Department, Lovely Professional University, Jalandhar, Punjab(India) [email protected], [email protected] Abstract This paper provides a new approach to recognize facial expressions. In this paper, facial expression recognition is based on appearance based features or we can say that low level features. We introduced the new approach Improved Principle Compone...
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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...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2017
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2017.080660