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DTSTAMP:20260114T163633Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_396@linklings.com
SUMMARY:Differentiable Dynamic Visible-Light Tomography
DESCRIPTION:Kaizhang Kang, Zoubin Bi, Xiang Feng, Yican Dong, Kun Zhou, an
 d Hongzhi Wu (State Key Laboratory of CAD&CG, Zhejiang Univerisity)\n\nWe 
 propose the first visible-light tomography system for real-time acquisitio
 n and reconstruction of general temporally-varying 3D phenomena. Using a s
 ingle high-speed camera, a high-performance LED array and optical fibers w
 ith a total length of 5km, we build a novel acquisition setup with no mech
 anical movements to simultaneously sample using 1,920 interleaved sources 
 and detectors with a complete 360-degree coverage. Next, we introduce a no
 vel differentiable framework to map both tomography acquisition and recons
 truction to a carefully designed autoencoder. This allows the joint and au
 tomatic optimization of both processes in an end-to-end fashion, essential
 ly learning to physically compress and computationally decompress the targ
 et information. Our framework can adapt to various factors, and trade betw
 een capture speed and reconstruction quality. We achieve an acquisition sp
 eed of up to 36.8 volumes per second at a spatial resolution of 32x128x128
 ; each volume is captured with as few as 8 images. The effectiveness of th
 e system is demonstrated on acquiring various dynamic scenes. Our results 
 are also validated with the reconstructions computed from the measurements
  with one source on at a time, and compare favorably with state-of-the-art
  techniques.\n\nRegistration Category: Full Access, Enhanced Access, Trade
  Exhibitor, Experience Hall Exhibitor\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_396&sess=sess209
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