Gaze-motivated compression of illumination and view dependent textures

Jiří Filip, Michal Haindl, Michael J. Chantler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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. © 2010 IEEE.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages862-865
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 20th International Conference on Pattern Recognition - Istanbul, Turkey
Duration: 23 Aug 201026 Aug 2010

Conference

Conference2010 20th International Conference on Pattern Recognition
Abbreviated titleICPR 2010
CountryTurkey
CityIstanbul
Period23/08/1026/08/10

Keywords

  • BTF
  • Compression
  • Eye-tracking
  • Texture
  • Visual psychophysics

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  • Cite this

    Filip, J., Haindl, M., & Chantler, M. J. (2010). Gaze-motivated compression of illumination and view dependent textures. In Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010 (pp. 862-865) https://doi.org/10.1109/ICPR.2010.217