Title: Detection of Facial Landmarks from Neutral, Happy, and Disgust Facial Images
Authors: Guizatdinova, Ioulia
Surakka, Veikko
Citation: WSCG '2005: Full Papers: The 13-th International Conference in Central Europe on ComputerGraphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, p. 55-62.
Issue Date: 2005
Publisher: UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2005/Papers_2005/Full/!WSCG2005_Full_Proceedings_Final.pdf
ISBN: 80-903100-7-9
Keywords: zpracování obrazu;segmentace obličeje;interakce člověk-počítač
Keywords in different language: image processing;face segmentation;human computer interaction
Abstract: Automated analysis of faces showing different expressions has been recently studied to improve the quality of human-computer interaction. In this framework, the expression-invariant face segmentation is a crucial step for any vision-based interaction scheme. A method for detecting facial landmarks from neutral and expressive facial images was proposed. In present study, a particular emphasis was given to handling expressions of happiness and disgust. The impact of these expressions on the developed method was tested using dataset including neutral, happiness and disgust images. The results demonstrated a high accuracy in detecting landmarks from neutral images. However, the expressions of happiness and disgust had a deteriorating effect on the landmark detection.
Rights: © UNION Agency
Appears in Collections:WSCG '2005: Full Papers

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10952

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