Facial Expression Recognition by Statistical, Spatial Features and using Decision Tree
نویسندگان
چکیده
منابع مشابه
Facial Expression Recognition by Statistical, Spatial Features and using Decision Tree
Facial Expression reflects the emotional stage of the person. Sensing and responding appropriately to the user’s emotional state is one of the most powerful, natural and abrupt means, which have the capability to enrich man-machine interaction and to regulate inter-personal behavior. In this paper we apply a novel technique to recognize different expression effectively using classification and ...
متن کاملFacial Expression Classification Using Statistical, Spatial Features and Neural Network
Human facial expression contains extremely abundant information of human’s behavior and can further reflect human’s corresponding mental state. Facial expression is one of the most powerful, natural, and abrupt means for human beings which have the ability to communicate emotion and regulate inter-personal behavior. This paper provides a novel and hybrid approach for classifying the facial expr...
متن کاملFacial Expression Recognition Using Facial Movement Features
Facial expressions give important information about emotions of a person. Understanding facial expressions accurately is one of the challenging tasks for interpersonal relationships. Automatic emotion detection using facial expressions recognition is now a main area of interest within various fields such as computer science, medicine, and psychology and To improve the human-computer interaction...
متن کاملFacial 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...
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/10733-5573