GenPluSSS: A Genetic Algorithm-Based Plugin for Measured Subsurface Scattering Representation
Makaleler > Tam Makale · 2026
Yazarlar: Barış Yıldırım, Murat KURT
Applied Sciences, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Wos, 2026, cilt 16, ss 6249-6249
DOI: 10.3390/app16126249
Özet
Abstract 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 combinationof 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.