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Facial Expression Analysis Using 3D Range Images
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Author(s): Parama Bagchi (RCC Institute of Information Technology, India), Debotosh Bhattacharjee (Jadavpur University, India)and Mita Nasipuri (Jadavpur University, India)
Copyright: 2016
Pages: 19
Source title:
Innovative Research in Attention Modeling and Computer Vision Applications
Source Author(s)/Editor(s): Rajarshi Pal (Institute for Development and Research in Banking Technology, India)
DOI: 10.4018/978-1-4666-8723-3.ch014
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Abstract
This proposed work deals with the uses and techniques of 3D range images for facial expression recognition. A 3D range image is basically a depth image (also called a 2.5D image), which contains depth information at each (x, y) pixel of the image. In the future, computer vision will become a part of our everyday life because of all of its extensive applications. Hence, the interactions between users and computers need to be more natural, and emphasizing as well as enumerating human-to-human communication to a larger extent. That is the reason why facial expressions find importance. Facial expression is an important factor of communication, and they reveal unknown facts about a person's feelings and emotions. There comes the need of a real facial expression detection system. Also, changes in expression are of great importance for the interpretation of human facial behavior as well as face recognition.
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