Face recognition across pose on video using eigen light-fields
Wibowo, Moh Edi & Tjondronegoro, Dian W. (2011) Face recognition across pose on video using eigen light-fields. In Bradley, Andrew, Jackway, Paul, Gal, Yaniv, & Salvado, Olivier (Eds.) Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications, IEEE Computer Society Conference Publishing Services (CPS), Noosa, Queensland, pp. 536-541.
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We propose an approach to employ eigen light-fields for face recognition across pose on video. Faces of a subject are collected from video frames and combined based on the pose to obtain a set of probe light-fields. These probe data are then projected to the principal subspace of the eigen light-fields within which the classification takes place. We modify the original light-field projection and found that it is more robust in the proposed system. Evaluation on VidTIMIT dataset has demonstrated that the eigen light-fields method is able to take advantage of multiple observations contained in the video.
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|Item Type:||Conference Paper|
|Keywords:||Face recognition, Light-fields, Pose, Video, Active appearance model, Face recognition, Hidden Markov models|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Information Systems
|Copyright Owner:||Copyright © 2011 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.|
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|Deposited On:||23 Jan 2012 01:05|
|Last Modified:||23 Jan 2012 01:07|
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