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:20250110T023312Z 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:Technical Papers\n\nMulun Na, Hector A. Jimenez Romero, Xinge Yang, Jonathan Klein, Dominik L. Michels, and Wolfgang Heidrich (KAUST)\n\ nPrototyping and small volume production of custom imaging-grade lenses is difficult and expensive, especially for more complex aspherical shapes. F luidic shaping has recently been proposed as a potential solution: It make s use of the atomic level smoothness of interfaces between liquids, where the shape of the interface can be carefully controlled by boundary conditi ons, buoyancy control and other physical parameters. If one of the liquids is a resin, its shape can be "frozen" by curing, thus creating a solid op tical element. While fluidic shaping is a promising avenue, the shape spac e generated by this method is currently only described in the form of part ial differential equations, which are incompatible with existing lens desi gn processes. Moreover, we show that the existing PDEs are inaccurate for larger curvatures. In this work, we develop a new formulation of the shape space lenses generated by the fluidic shaping technique. It overcomes the inaccuracies of previous models, and, through a differentiable implementa tion, can be integrated into recent end-to-end optical design pipelines ba sed on differentiable ray tracing. We extensively evaluate the model and t he design pipeline with simulations, as well as initial physical prototype s.\n\nRegistration Category: Full Access, Full Access Supporter\n\nLanguag e Format: English Language\n\nSession Chair: Nobuyuki Umetani (University of Tokyo) URL:https://asia.siggraph.org/2024/program/?id=papers_294&sess=sess121 END:VEVENT END:VCALENDAR