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Image-based bidirectional reflectance distribution function measurement.

S R Marschner1, S H Westin, E P Lafortune

  • 1Program of Computer Graphics, Cornell University, 580 Rhodes Hall, Ithaca, New York 14853-3801, USA.

Applied Optics
|March 18, 2008
PubMed
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We developed a fast, complete, and accurate image-based method for measuring surface bidirectional reflectance. This technique rivals dedicated instruments in accuracy, offering a significant advancement in material characterization.

Area of Science:

  • Optics and Photonics
  • Materials Science
  • Computer Vision

Background:

  • Accurate measurement of bidirectional reflectance distribution function (BRDF) is crucial for realistic rendering and material analysis.
  • Traditional gonioreflectometer measurements can be time-consuming and cover limited angular ranges.

Purpose of the Study:

  • To introduce a novel, rapid, and comprehensive image-based method for measuring surface bidirectional reflectance.
  • To demonstrate the accuracy and efficiency of the proposed technique compared to existing methods.

Main Methods:

  • Utilizing a system with two cameras, a light source, and a sample of known geometry.
  • Acquiring dense samples across a wide range of illumination and reflection angles.
  • Validating measurements through internal consistency checks and comparison with gonioreflectometer data.

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Main Results:

  • The image-based method achieves rapid and complete data acquisition for surface reflectance.
  • Measurements demonstrate high accuracy, comparable to specialized gonioreflectometers.
  • The technique effectively covers a broad domain of illumination and reflection directions.

Conclusions:

  • The proposed image-based process offers a highly accurate and efficient alternative for bidirectional reflectance measurements.
  • This method advances the field of material appearance capture and analysis.
  • The technique provides a valuable tool for researchers and engineers in optics and computer graphics.