Gaze-Motivated Compression of Illumination and View Dependent Textures

0346561 - ÚTIA 2011 RIV US eng C - Conference Paper (international conference)
Filip, Jiří - Haindl, Michal - Chantler, M.J.
Gaze-Motivated Compression of Illumination and View Dependent Textures.
20th International Conference on Pattern Recognition. Los Alamitos: IEEE Computer Society CPS, 2010, s. 862-865. ISBN 978-1-4244-7542-1. ISSN 1051-4651.
[20th International Conference on Pattern Recognition ICPR 2010. Istanbul (TR), 23.08.2010-26.08.2010]
R&D Projects: GA MŠMT 1M0572; GA ČR GA102/08/0593
Grant - others:EC Marie Curie(BE) ERG 239294
Institutional research plan: CEZ:AV0Z10750506
Keywords : BTF * compression * eye-tracking * visual psychophysics
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2010/RO/filip-gaze-motivated compression of illumination and view dependent textures.pdf

Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture statistics. These statistics were then exploited in a pilot illumination and view direction dependent data compression algorithm. Our results showed that taking into account local texture variance can increase compression of current methods more than twofold, while preserving original realistic appearance and allowing fast data reconstruction.
Permanent Link: http://hdl.handle.net/11104/0187561