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Reflectance and texture of real-world surfaces

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Dana, Kristin J., van Ginneken, Bram, Nayar, Shree K., Koenderink, Jan J.·1999·ACM Transactions on Graphics

Abstract

In this work, we investigate the visual appearance of real-world surfaces and the dependence of appearance on the geometry of imaging conditions. We discuss a new texture representation called the BTF (bidirectional texture function) which captures the variation in texture with illumination and viewing direction. We present a BTF database with image textures from over 60 different samples, each observed with over 200 different combinations of viewing and illumination directions. We describe the methods involved in collecting the database as well as the importqance and uniqueness of this database for computer graphics. A related quantity to the BTF is the familiar BRDF (bidirectional reflectance distribution function). The measurement methods involved in the BTF database are conducive to simultaneous measurement of the BRDF. Accordingly, we also present a BRDF database with reflectance measurements for over 60 different samples, each observed with over 200 different combinations of viewing and illumination directions. Both of these unique databases are publicly available and have important implications for computer graphics.

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Metadata

Authors
Dana, K. J., van Ginneken, B., Nayar, S. K., & Koenderink, J. J.
Venue
ACM Transactions on Graphics
Published
1999-01
Volume
18
Issue
1
Pages
1-34
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W2000123870
Cited by
1,324
References
0
FWCI
52.18
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Reflectance and texture of real-world surfaces. https://app.cochat.ai/papers/10.1145/300776.300778
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Dana, K. J., van Ginneken, B., Nayar, S. K., & Koenderink, J. J. (1999). Reflectance and texture of real-world surfaces. ACM Transactions on Graphics. https://doi.org/10.1145/300776.300778

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.