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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
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High-Resolution Measurement of Surface Normal Maps Using Specular Reflection Imaging.

Shinichi Inoue1, Yoshinori Igarashi2, Seiji Suzuki2

  • 1Faculty of Engineering, Tokyo Polytechnic University, 5-45-1 Iiyamaminami, Atsugi 243-0297, Japan.

Journal of Imaging
|April 27, 2026
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Summary

This study introduces an imaging technique to measure surface normal vectors, creating detailed normal maps. These maps offer high-resolution surface analysis for industrial inspection and realistic gloss reproduction in computer graphics.

Keywords:
appearanceindustrial inspectionmeasurement methodnormal mapsspecular reflectionsurface analysissurface normal vectors

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Area of Science:

  • Optics and Photonics
  • Computer Graphics
  • Materials Science

Background:

  • Evaluating material surface properties is crucial for industrial applications.
  • Visual assessments of reflective properties are common but lack quantitative accuracy.
  • Existing methods struggle to provide high-resolution spatial distribution of surface normals.

Purpose of the Study:

  • To present a novel imaging-based technique for measuring surface normal vectors.
  • To achieve high angular and spatial resolution in surface normal measurements.
  • To generate normal maps for quantitative surface analysis and computer graphics applications.

Main Methods:

  • Developed a dedicated measurement apparatus for capturing specular reflections.
  • Employed a color-mapping technique to visualize spatial distribution of surface normal vectors.
  • Achieved 1024 × 1024 sampling points with 0.02 × 0.02 mm spatial resolution and ~0.1° angular resolution.

Main Results:

  • Generated high-resolution normal maps for various materials (plastic, ceramic tile, paper, aluminum).
  • Demonstrated that the spatial distribution of surface normals correlates with surface roughness and perceived texture.
  • Validated the technique's capability for both industrial inspection and computer graphics.

Conclusions:

  • The developed imaging technique provides accurate and high-resolution measurement of surface normal vectors.
  • Normal maps derived from this method enable quantitative surface analysis and realistic gloss reproduction.
  • This technique addresses the need for reliable surface property evaluation in appearance-critical industries.