GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation

Fuente: arXiv
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Main Authors: Yıldırım, Barış, Kurt, Murat
Format: Preprint
Published: 2024
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author Yıldırım, Barış
Kurt, Murat
author_facet Yıldırım, Barış
Kurt, Murat
contents This paper presents a plugin that adds a representation of homogeneous and heterogeneous, optically thick, translucent materials on the Blender 3D modeling tool. The working principle of this plugin is based on a combination of Genetic Algorithm (GA) and Singular Value Decomposition (SVD)-based subsurface scattering method (GenSSS). The proposed plugin has been implemented using Mitsuba renderer, which is an open source rendering software. The proposed plugin has been validated on measured subsurface scattering data. It's shown that the proposed plugin visualizes homogeneous and heterogeneous subsurface scattering effects, accurately, compactly and computationally efficiently.
format Preprint
id arxiv_https___arxiv_org_abs_2401_15245
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation
Yıldırım, Barış
Kurt, Murat
Graphics
Artificial Intelligence
Machine Learning
Neural and Evolutionary Computing
This paper presents a plugin that adds a representation of homogeneous and heterogeneous, optically thick, translucent materials on the Blender 3D modeling tool. The working principle of this plugin is based on a combination of Genetic Algorithm (GA) and Singular Value Decomposition (SVD)-based subsurface scattering method (GenSSS). The proposed plugin has been implemented using Mitsuba renderer, which is an open source rendering software. The proposed plugin has been validated on measured subsurface scattering data. It's shown that the proposed plugin visualizes homogeneous and heterogeneous subsurface scattering effects, accurately, compactly and computationally efficiently.
title GenPluSSS: A Genetic Algorithm Based Plugin for Measured Subsurface Scattering Representation
topic Graphics
Artificial Intelligence
Machine Learning
Neural and Evolutionary Computing
url https://arxiv.org/abs/2401.15245