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DTSTAMP:20250522T212947Z
LOCATION:Mile High 3C
DTSTART;TZID=America/Denver:20240801T141000
DTEND;TZID=America/Denver:20240801T142000
UID:siggraph_SIGGRAPH 2024_sess145_papers_606@linklings.com
SUMMARY:AONeuS: A Neural Rendering Framework for Acoustic-optical Sensor F
 usion
DESCRIPTION:Mohamad Qadri (Carnegie Mellon University), Kevin Zhang (Unive
 rsity of Maryland College Park), Akshay Hinduja and Michael Kaess (Carnegi
 e Mellon University), Adithya Pediredla (Dartmouth College), and Christoph
 er Metzler (University of Maryland College Park)\n\nUnderwater 3D surface 
 reconstruction has broad applications. Often, submersibles must capture me
 asurements from a small baseline. Small baselines make 3D reconstruction m
 ore challenging. We present an acoustic-optical neural surface reconstruct
 ion framework (AONeuS), which fuses complementary sonar and optical measur
 ements to reconstruct accurate 3D surfaces from measurements captured over
  small baselines.\n\nInterest Area: Research & Education\n\nRecording: Liv
 estreamed, Recorded\n\nKeyword: Fabrication\n\nRegistration Category: Full
  Conference, Full Conference Supporter, Virtual Access, Exhibitor Full Con
 ference, Thursday\n\nSession Chair: Changxi Zheng (Columbia University)\n\
 n
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