Geometric Feature Based Facial Emotion Recognition
نویسندگان
چکیده
منابع مشابه
Emotion Detection Through Facial Feature Recognition
Humans share a universal and fundamental set of emotions which are exhibited through consistent facial expressions. An algorithm that performs detection, extraction, and evaluation of these facial expressions will allow for automatic recognition of human emotion in images and videos. Presented here is a hybrid feature extraction and facial expression recognition method that utilizes Viola-Jones...
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Psychologically, emotion is related to someone’s feeling in particular condition. Some fields like: health, psychology, and police investigation need the information of emotion recognition. Human’s emotion can be classified into six types include happy, sad, angry, fear, disgusted, and normal. Psychologically, there are some methods that can be used to emotion recognition, like self-report anal...
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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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This paper evaluates facial recognition based on Local Binary Patterns on three orthogonal planes, Pyramid of Histogram of Gradients, and a geometrical feature based on distance between fiducial points for person-independent facial expression recognition. Different machine learning methods are systematically examined on two databases (posed and spontaneous). For posed database Cohn-Kanade has b...
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ژورنال
عنوان ژورنال: International Journal of Advanced Trends in Computer Science and Engineering
سال: 2020
ISSN: 2278-3091
DOI: 10.30534/ijatcse/2020/143932020