dc.contributor.author | Padron-Griffe, Juan Raul | en_US |
dc.contributor.author | Bielsa, Diego | en_US |
dc.contributor.author | Jarabo, Adrian | en_US |
dc.contributor.author | Muñoz, Adolfo | en_US |
dc.contributor.editor | Gimeno Sancho, Jesús | en_US |
dc.contributor.editor | Comino Trinidad, Marc | en_US |
dc.date.accessioned | 2023-07-02T06:44:09Z | |
dc.date.available | 2023-07-02T06:44:09Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-3-03868-230-1 | |
dc.identifier.uri | https://doi.org/10.2312/ceig.20231143 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/ceig20231143 | |
dc.description.abstract | Simulating the light transport on biological tissues is a longstanding challenge, given its complex multilayered structure. In biology, one of the most remarkable and studied examples of tissues are the scales that cover the skin of reptiles, which present a combination of photonic structures and pigmentation. This is, however, a somewhat ignored problem in computer graphics. In this work, we propose a multilayered appearance model based on the anatomy of the snake skin. Some snakes are known for their striking, highly iridescent scales resulting from light interference. We model snake skin as a two-layered reflectance function: The top layer is a thin layer resulting on a specular iridescent reflection, while the bottom layer is a diffuse highlyabsorbing layer, that results into a dark diffuse appearance that maximizes the iridescent color of the skin. We demonstrate our layered material on a wide range of appearances, and show that our model is able to qualitatively match the appearance of snake skin. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | A Biologically-Inspired Appearance Model for Snake Skin | en_US |
dc.description.seriesinformation | Spanish Computer Graphics Conference (CEIG) | |
dc.description.sectionheaders | Full Paper | |
dc.identifier.doi | 10.2312/ceig.20231143 | |
dc.identifier.pages | 1-8 | |
dc.identifier.pages | 8 pages | |