Facial Expression Recognition Using Interpolation Features
نویسندگان
چکیده
منابع مشابه
Facial Expression Recognition Using Interpolation Features
In this work, a methodology for classifying emotions (such as happiness, anger and surprise) based on face images is proposed. This methodology consist of three stages: in the pre-processing stage, edge detectors and threshold algorithms are used in order to find edge information about ROIs; in the second stage (feature extraction) numeric information of pre-processing images is extracted via i...
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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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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...
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ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2017
ISSN: 1870-4069
DOI: 10.13053/rcs-133-1-2