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Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ
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Roughness Estimation and Image Rendering for Glossy Object Surface.

Shoji Tominaga1,2, Motonori Doi3, Hideaki Sakai4

  • 1Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjovik, Norway.

Journal of Imaging
|September 26, 2025
PubMed
Summary
This summary is machine-generated.

This study establishes a direct link between physical surface roughness and image rendering parameters for glossy dielectric objects. This finding enables more accurate digital material appearance simulation.

Keywords:
Beckmann functionHDR imagesdielectric objectsglossy surfacehandcrafted lacquerwareslaser scanning systemphysical surface roughnessplasticsroughness estimationroughness parameter

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Area of Science:

  • Materials Science
  • Computer Graphics
  • Optics

Background:

  • Realistic rendering of glossy surfaces in computer graphics relies on accurate surface roughness parameters.
  • Understanding the physical basis of surface roughness is crucial for material appearance modeling.

Purpose of the Study:

  • To investigate the relationship between physical surface roughness and the roughness parameter used in image rendering.
  • To develop a method for estimating rendering roughness parameters from physical surface measurements.

Main Methods:

  • Defined physical surface roughness as the standard deviation of the surface normal.
  • Utilized laser scanning to capture precise surface height data.
  • Developed an image-based method to estimate roughness by fitting the Beckmann function to HDR image intensity distributions using least squares.

Main Results:

  • A linear relationship was identified between measurement-based physical surface roughness and image-based estimated roughness.
  • The developed method accurately estimates surface roughness parameters for various dielectric materials.

Conclusions:

  • Physical surface roughness directly correlates with rendering roughness parameters for glossy dielectric surfaces.
  • This research bridges the gap between physical material properties and their digital representation, improving rendering realism.