Robust Facial Expression-Recognition Against Various Expression Intensity
نویسندگان
چکیده
منابع مشابه
Robust Facial Expression Recognition
This paper proposes a novel local feature descriptor, Local Directional Number Pattern (LDN), for face analysis: face and expression recognition. LDN encodes the directional information of the face’s textures (i.e., the texture’s structure) in a compact way, producing a more discriminative code than current methods. We compute the structure of each micro-pattern with the aid of a compass mask, ...
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OF THE DISSERTATION Facial Expression Recognition and Expression Intensity Estimation by Peng Yang Dissertation Director: Professor Dimitris N. Metaxas Seventy years ago, psychologist categorized the facial expression into seven categories: angry, disgust, fear, happiness, sadness, surprise and neutral. Through analyzing the expression, psychologists want to predict the emotions behind the expr...
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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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We have developed a computer vision system, including both facial feature extraction and recognition, that automatically discriminates among subtly different facial expressions. Expression classification is based on Facial Action Coding System (FACS) action units (AUs), and discrimination is performed using Hidden Markov Models (HMMs). Three methods are developed to extract facial expression in...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2009
ISSN: 1598-284X
DOI: 10.3745/kipstb.2009.16b.5.395