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 (2)\, B Block\, Level 5 DTSTART;TZID=Asia/Tokyo:20241204T145900 DTEND;TZID=Asia/Tokyo:20241204T151300 UID:siggraphasia_SIGGRAPH Asia 2024_sess119_tog_108@linklings.com SUMMARY:Plug-and-Play Algorithms for Dynamic Non-line-of-sight Imaging DESCRIPTION:Technical Papers\n\nXin Yuan (Westlake University), JunTian Ye and Yu Hong (University of Science and Technology of China), Xiongfei Su (Westlake University), and Feihu Xu (University of Science and Technology of China)\n\nNon-line-of-sight (NLOS) imaging has the ability to recover 3 D images of scenes outside the direct line of sight, which is of growing i nterest for diverse applications. Despite the remarkable progress, NLOS im aging of dynamic objects is still challenging. It requires a large amount of multibounce photons for the reconstruction of single frame data. To ove rcome this obstacle, we develop a computational framework for dynamic time -of-flight NLOS imaging based on plug-and-play (PnP) algorithms. By combin ing imaging forward model with the deep denoising network from the compute r vision community, we show a 4 frames-per-second (fps) 3D NLOS video reco very (128 × 128 × 512) in post processing. Our method leverages the tempor al similarity among adjacent frames and incorporates sparse priors and fre quency filtering. This enables higher-quality reconstructions for complex scenes. Extensive experiments are conducted to verify the superior perform ance of our proposed algorithm both through simulations and real data.\n\n Registration Category: Full Access, Full Access Supporter\n\nLanguage Form at: English Language\n\nSession Chair: Qi Sun (New York University) URL:https://asia.siggraph.org/2024/program/?id=tog_108&sess=sess119 END:VEVENT END:VCALENDAR