Spectral Bidirectional Reflectance Distribution Function Simplification

Non-diffuse materials (e.g., metallic inks, varnishes, and paints) are widely used in real-world applications. Accurate <i>spectral</i> rendering relies on the bidirectional reflectance distribution function (BRDF). Current methods of capturing the BRDFs have proven to be onerous in acco...

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Main Authors: Shubham Chitnis, Aditya Sole, Sharat Chandran
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Imaging
Subjects:
Online Access:https://www.mdpi.com/2313-433X/11/1/18
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author Shubham Chitnis
Aditya Sole
Sharat Chandran
author_facet Shubham Chitnis
Aditya Sole
Sharat Chandran
author_sort Shubham Chitnis
collection DOAJ
description Non-diffuse materials (e.g., metallic inks, varnishes, and paints) are widely used in real-world applications. Accurate <i>spectral</i> rendering relies on the bidirectional reflectance distribution function (BRDF). Current methods of capturing the BRDFs have proven to be onerous in accomplishing quick turnaround time, from conception and design to production. We propose a multi-layer perceptron for compact spectral material representations, with 31 wavelengths for four real-world packaging materials. Our neural-based scenario reduces measurement requirements while maintaining significant saliency. Unlike tristimulus BRDF acquisition, this spectral approach has not, to our knowledge, been previously explored with neural networks. We demonstrate compelling results for diffuse, glossy, and goniochromatic materials.
format Article
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institution Kabale University
issn 2313-433X
language English
publishDate 2025-01-01
publisher MDPI AG
record_format Article
series Journal of Imaging
spelling doaj-art-ba2df0a126684c97b45186519b2a14082025-01-24T13:36:17ZengMDPI AGJournal of Imaging2313-433X2025-01-011111810.3390/jimaging11010018Spectral Bidirectional Reflectance Distribution Function SimplificationShubham Chitnis0Aditya Sole1Sharat Chandran2ViGIL, Indian Institute of Technology Bombay, Mumbai 400076, IndiaColourlab, Department of Computer Science, Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, NorwayViGIL, Indian Institute of Technology Bombay, Mumbai 400076, IndiaNon-diffuse materials (e.g., metallic inks, varnishes, and paints) are widely used in real-world applications. Accurate <i>spectral</i> rendering relies on the bidirectional reflectance distribution function (BRDF). Current methods of capturing the BRDFs have proven to be onerous in accomplishing quick turnaround time, from conception and design to production. We propose a multi-layer perceptron for compact spectral material representations, with 31 wavelengths for four real-world packaging materials. Our neural-based scenario reduces measurement requirements while maintaining significant saliency. Unlike tristimulus BRDF acquisition, this spectral approach has not, to our knowledge, been previously explored with neural networks. We demonstrate compelling results for diffuse, glossy, and goniochromatic materials.https://www.mdpi.com/2313-433X/11/1/18BRDFgoniochromaticANN
spellingShingle Shubham Chitnis
Aditya Sole
Sharat Chandran
Spectral Bidirectional Reflectance Distribution Function Simplification
Journal of Imaging
BRDF
goniochromatic
ANN
title Spectral Bidirectional Reflectance Distribution Function Simplification
title_full Spectral Bidirectional Reflectance Distribution Function Simplification
title_fullStr Spectral Bidirectional Reflectance Distribution Function Simplification
title_full_unstemmed Spectral Bidirectional Reflectance Distribution Function Simplification
title_short Spectral Bidirectional Reflectance Distribution Function Simplification
title_sort spectral bidirectional reflectance distribution function simplification
topic BRDF
goniochromatic
ANN
url https://www.mdpi.com/2313-433X/11/1/18
work_keys_str_mv AT shubhamchitnis spectralbidirectionalreflectancedistributionfunctionsimplification
AT adityasole spectralbidirectionalreflectancedistributionfunctionsimplification
AT sharatchandran spectralbidirectionalreflectancedistributionfunctionsimplification