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DTSTAMP:20260817T171534Z
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:Yunchen Yu (Cornell University); Andrea Weidlich (NVIDIA); Bru
 ce Walter (Cornell University); Eugene d'Eon (NVIDIA); and Steve Marschner
  (Cornell University, NVIDIA)\n\nMany animals exhibit structural colors, w
 hich are often iridescent, meaning that the perceived colors change with i
 llumination conditions and viewing perspectives. Biological iridescence is
  usually caused by multilayers or other periodic structures in animal tiss
 ues, which selectively reflect light of certain wavelengths and often resu
 lt in a shiny appearance---which almost always comes with spatially varyin
 g highlights, thanks to randomness and irregularities in the structures. P
 revious models for biological iridescence tend to each target one specific
  structure, and most models only compute large-area averages, overlooking 
 spatial variation in iridescent appearance. \n\nIn this work, we build app
 earance models for biological iridescence using bird feathers as our case 
 study, investigating different types of feathers with a variety of structu
 ral coloration mechanisms. We propose an approximate wave simulation metho
 d that takes advantage of quasi-regular structure while efficiently modeli
 ng the effects of natural structural irregularities. We further propose a 
 method to distill our simulation results into distributions of BRDFs, gene
 rated using noise functions, that preserve relevant statistical properties
  of the simulated BRDFs. This allows us to model the spatially varying, gl
 ittery appearance commonly seen on feathers. Our BRDFs are practical and e
 fficient, and we present renderings of multiple types of iridescent feathe
 rs with comparisons to photographic images.\n\nRegistration Category: Full
  Access, Full Access Supporter\n\nLanguage Format: English Language\n\nSes
 sion Chair: Valentin Deschaintre (Adobe Research)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_998&sess=sess146
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