Automatic Feature Localization in Thermal Images for Facial Expression Recognition

Conferences Papers
  1. L Trujillo, G Olague, R Hammoud and B Hernandez. Automatic Feature Localization in Thermal Images for Facial Expression Recognition. In Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on. 2005, 14-14. DOI BibTeX

    @inproceedings{1565309,
    	author = "Trujillo, L. and Olague, G. and Hammoud, R. and Hernandez, B.",
    	booktitle = "Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on",
    	title = "Automatic Feature Localization in Thermal Images for Facial Expression Recognition",
    	year = 2005,
    	pages = "14-14",
    	keywords = "Data mining;Face detection;Face recognition;Facial features;Feature extraction;Humans;Image analysis;Image recognition;Information analysis;Support vector machines",
    	doi = "10.1109/CVPR.2005.415",
    	issn = "1063-6919"
    }
    
Abstract

We propose an unsupervised Local and Global feature extraction paradigm to approach the problem of facial expression recognition in thermal images. Starting from local, low-level features computed at interest point locations, our approach combines the localization of facial features with the holistic approach. The detailed steps are as follows: First, face localization using bi-modal thresholding is accomplished in order to localize facial features by way of a novel interest point detection and clustering approach. Second, we compute representative Eigenfeatures for feature extraction. Third, facial expression classification is made with a Support Vector Machine Committiee. Finally, the experiments over the IRIS data-set show that automation was achieved with good feature localization and classification performance.

Published in
Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10468
Date of conference
25 June 2005
Pages
14
ISSN
1063-6919
ISBN
0-7695-2372-2
Last modified onTuesday, 08 October 2013 03:45
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