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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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TZNAME:JST
DTSTART:18871231T000000
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DTSTAMP:20260817T171532Z
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:Xin Yuan (Westlake University), JunTian Ye and Yu Hong (Univer
 sity of Science and Technology of China), Xiongfei Su (Westlake University
 ), and Feihu Xu (University of Science and Technology of China)\n\nNon-lin
 e-of-sight (NLOS) imaging has the ability to recover 3D images of scenes o
 utside the direct line of sight, which is of growing interest for diverse 
 applications. Despite the remarkable progress, NLOS imaging of dynamic obj
 ects is still challenging. It requires a large amount of multibounce photo
 ns for the reconstruction of single frame data. To overcome this obstacle,
  we develop a computational framework for dynamic time-of-flight NLOS imag
 ing based on plug-and-play (PnP) algorithms. By combining imaging forward 
 model with the deep denoising network from the computer vision community, 
 we show a 4 frames-per-second (fps) 3D NLOS video recovery (128 × 128 × 51
 2) in post processing. Our method leverages the temporal similarity among 
 adjacent frames and incorporates sparse priors and frequency filtering. Th
 is enables higher-quality reconstructions for complex scenes. Extensive ex
 periments are conducted to verify the superior performance of our proposed
  algorithm both through simulations and real data.\n\nRegistration Categor
 y: Full Access, Full Access Supporter\n\nLanguage Format: English Language
 \n\nSession Chair: Qi Sun (New York University, Google)\n\n
URL:https://asia.siggraph.org/2024/program/?id=tog_108&sess=sess119
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