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Extreme compression and modeling of bidirectional texture function.

Michal Haindl1, Jirí Filip

  • 1Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague. haindl@utia.cz

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 19, 2007
PubMed
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This study introduces a novel algorithm for compressing Bidirectional Texture Functions (BTFs), essential for realistic virtual reality materials. The method achieves extreme compression, enabling efficient rendering and reconstruction of material appearance.

Area of Science:

  • Computer Graphics
  • Material Science
  • Image Processing

Background:

  • Bidirectional Texture Functions (BTFs) represent realistic material appearance under varying light and viewing conditions.
  • BTFs require thousands of measurements, leading to large data sizes unsuitable for direct rendering.
  • Compression of BTF data is crucial for practical applications in virtual reality and computer graphics.

Purpose of the Study:

  • To present a novel, fast probabilistic algorithm for Bidirectional Texture Function (BTF) modeling and compression.
  • To enable realistic material rendering in virtual reality applications with significantly reduced data size.
  • To achieve extreme compression ratios for BTF data, allowing for hardware implementation and reconstruction of missing data.

Main Methods:

Related Experiment Videos

  • BTF space segmentation and range map estimation using photometric stereo.
  • Spectral and spatial factorization of selected sub-space color texture images.
  • Independent spatial probabilistic modeling of mono-spectral band-limited factors.
  • Synthesis of sub-space images and combination of color/range information for bump-mapping.

    • Main Results:

    • A novel probabilistic model-based algorithm for realistic BTF modeling.
    • Achieved unprecedented BTF compression ratios, surpassing alternative sampling-based methods.
    • Demonstrated the possibility of fast hardware implementation for BTF rendering.
    • Enabled reconstruction of missing parts within the BTF measurement space.

    Conclusions:

    • The proposed algorithm offers a highly efficient method for compressing and rendering Bidirectional Texture Functions.
    • The technique allows for creating visual material impressions without pixel-wise correspondence to original measurements.
    • This approach facilitates realistic material representation in virtual reality with significantly reduced computational and storage demands.