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DTSTAMP:20240214T070250Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T114500
DTEND;TZID=Australia/Melbourne:20231215T115500
UID:siggraphasia_SIGGRAPH Asia 2023_sess136_papers_396@linklings.com
SUMMARY:Differentiable Dynamic Visible-Light Tomography
DESCRIPTION:Technical Papers\n\nKaizhang Kang, Zoubin Bi, Xiang Feng, Yica
 n Dong, Kun Zhou, and Hongzhi Wu (State Key Laboratory of CAD&CG, Zhejiang
  Univerisity)\n\nWe propose the first visible-light tomography system for 
 real-time acquisition and reconstruction of general temporally-varying 3D 
 phenomena. Using a single high-speed camera, a high-performance LED array 
 and optical fibers with a total length of 5km, we build a novel acquisitio
 n setup with no mechanical movements to simultaneously sample using 1,920 
 interleaved sources and detectors with a complete 360-degree coverage. Nex
 t, we introduce a novel differentiable framework to map both tomography ac
 quisition and reconstruction to a carefully designed autoencoder. This all
 ows the joint and automatic optimization of both processes in an end-to-en
 d fashion, essentially learning to physically compress and computationally
  decompress the target information. Our framework can adapt to various fac
 tors, and trade between capture speed and reconstruction quality. We achie
 ve an acquisition speed of up to 36.8 volumes per second at a spatial reso
 lution of 32x128x128; each volume is captured with as few as 8 images. The
  effectiveness of the system is demonstrated on acquiring various dynamic 
 scenes. Our results are also validated with the reconstructions computed f
 rom the measurements with one source on at a time, and compare favorably w
 ith state-of-the-art techniques.\n\nRegistration Category: Full Access\n\n
 Session Chair: Bo Ren (TMCC, Nankai University)
URL:https://asia.siggraph.org/2023/full-program?id=papers_396&sess=sess136
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