BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260817T171530Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T163000
DTEND;TZID=Asia/Tokyo:20241204T164100
UID:siggraphasia_SIGGRAPH Asia 2024_sess121_papers_294@linklings.com
SUMMARY:End-to-end Optimization of Fluidic Lenses
DESCRIPTION:Mulun Na, Hector A. Jimenez Romero, Xinge Yang, Jonathan Klein
 , Dominik L. Michels, and Wolfgang Heidrich (KAUST)\n\nPrototyping and sma
 ll volume production of custom imaging-grade lenses is difficult and expen
 sive, especially for more complex aspherical shapes. Fluidic shaping has r
 ecently been proposed as a potential solution: It makes use of the atomic 
 level smoothness of interfaces between liquids, where the shape of the int
 erface can be carefully controlled by boundary conditions, buoyancy contro
 l and other physical parameters. If one of the liquids is a resin, its sha
 pe can be "frozen" by curing, thus creating a solid optical element. While
  fluidic shaping is a promising avenue, the shape space generated by this 
 method is currently only described in the form of partial differential equ
 ations, which are incompatible with existing lens design processes. Moreov
 er, we show that the existing PDEs are inaccurate for larger curvatures. I
 n this work, we develop a new formulation of the shape space lenses genera
 ted by the fluidic shaping technique. It overcomes the inaccuracies of pre
 vious models, and, through a differentiable implementation, can be integra
 ted into recent end-to-end optical design pipelines based on differentiabl
 e ray tracing. We extensively evaluate the model and the design pipeline w
 ith simulations, as well as initial physical prototypes.\n\nRegistration C
 ategory: Full Access, Full Access Supporter\n\nLanguage Format: English La
 nguage\n\nSession Chair: Nobuyuki Umetani (University of Tokyo)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_294&sess=sess121
END:VEVENT
END:VCALENDAR