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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
Summary
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.
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.
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