Pixels2Pose: Super-Resolution Time-of-Flight Imaging for 3D Pose Estimation

Alice Ruget; Max Tyler; Germán Mora-Martín; Stirling Scholes; Feng Zhu; Istvan Gyongy; Brent Hearn; Steve McLaughlin; Abderrahim Halimi; Jonathan Leach

doi:10.1364/ISA.2022.ITh5D.5

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper ITh5D.5
•https://doi.org/10.1364/ISA.2022.ITh5D.5

Pixels2Pose: Super-Resolution Time-of-Flight Imaging for 3D Pose Estimation

Alice Ruget, Max Tyler, Germán Mora-Martín, Stirling Scholes, Feng Zhu, Istvan Gyongy, Brent Hearn, Steve McLaughlin, Abderrahim Halimi, and Jonathan Leach

Imaging Systems and Applications 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-09-8

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Super Resolution, Imaging, Microscopy III (ITh5D)

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A. Ruget, M. Tyler, G. Mora-Martín, S. Scholes, F. Zhu, I. Gyongy, B. Hearn, S. McLaughlin, A. Halimi, and J. Leach, "Pixels2Pose: Super-Resolution Time-of-Flight Imaging for 3D Pose Estimation," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper ITh5D.5.

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Abstract

The process of tracking human anatomy in computer vision is called pose estimation. It traditionally requires advanced equipment. We develop a system that estimates the 3D poses of people from a cost-effective and compact time-of-flight sensor.

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