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DTSTAMP:20250110T023313Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241206T134600
DTEND;TZID=Asia/Tokyo:20241206T135800
UID:siggraphasia_SIGGRAPH Asia 2024_sess146_papers_998@linklings.com
SUMMARY:Appearance Modeling of Iridescent Feathers with Diverse Nanostruct
 ures
DESCRIPTION:Technical Papers\n\nYunchen Yu (Cornell University); Andrea We
 idlich (NVIDIA); Bruce Walter (Cornell University); Eugene d'Eon (NVIDIA);
  and Steve Marschner (Cornell University, NVIDIA)\n\nMany animals exhibit 
 structural colors, which are often iridescent, meaning that the perceived 
 colors change with illumination conditions and viewing perspectives. Biolo
 gical iridescence is usually caused by multilayers or other periodic struc
 tures in animal tissues, which selectively reflect light of certain wavele
 ngths and often result in a shiny appearance---which almost always comes w
 ith spatially varying highlights, thanks to randomness and irregularities 
 in the structures. Previous models for biological iridescence tend to each
  target one specific structure, and most models only compute large-area av
 erages, overlooking spatial variation in iridescent appearance. \n\nIn thi
 s work, we build appearance models for biological iridescence using bird f
 eathers as our case study, investigating different types of feathers with 
 a variety of structural coloration mechanisms. We propose an approximate w
 ave simulation method that takes advantage of quasi-regular structure whil
 e efficiently modeling the effects of natural structural irregularities. W
 e further propose a method to distill our simulation results into distribu
 tions of BRDFs, generated using noise functions, that preserve relevant st
 atistical properties of the simulated BRDFs. This allows us to model the s
 patially varying, glittery appearance commonly seen on feathers. Our BRDFs
  are practical and efficient, and we present renderings of multiple types 
 of iridescent feathers with comparisons to photographic images.\n\nRegistr
 ation Category: Full Access, Full Access Supporter\n\nLanguage Format: Eng
 lish Language\n\nSession Chair: Valentin Deschaintre (Adobe Research)
URL:https://asia.siggraph.org/2024/program/?id=papers_998&sess=sess146
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