Title: A method of micro facial expression recognition based on dense facial motion data
Authors: Akagi, Yasuhiro
Kawasaki, Hiroshi
Citation: WSCG 2014: Poster Papers Proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 39-44.
Issue Date: 2014
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2014/!!_2014-Posters-Proceedings.pdf
ISBN: 978-80-86943-72-5
Keywords: rozpoznávání obrazu;výraz obličeje;pohyby v obličeji
Keywords in different language: image recognition;facial expression;facial motion
Abstract: In this paper, we propose a method for recognizing a micro expression which is a small motion appearing on a face by using a high density and high frame-rate 3D reconstruction method. Some studies report that the micro expressions are caused by the change of mental state. If we can recognize the micro expressions, this information could be useful for machines to understand the mental state of a human. With advancements of 3D reconstruction methods, methods have been proposed to reconstruct dynamic objects such as motions of a human’s body in high accuracy with high frame rate. Based on the data obtained from the high quality shape reconstruction method, the proposed method recognizes the micro expressions. To detect a part of the face where the micro-expressions are appeared, we propose an experimental estimation of the part. We also report a recognition rate of the change of the mental state using the experimental system.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2014: Poster Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11938

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