Optimal Camera Placement for Maximized Motion Capture Volume and Marker Visibility

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Abstract

In optical motion capture, camera placement strongly effects the dimensions of the measurable area and the accuracy of measured 3D marker positions calculated via triangulation. Aligning a given set of cameras by hand according to spatial conditions and measurement requirements relies on expertise and experience. This paper introduces an approach to find optimal camera poses for maximizing the measurement volume. It is based on a formulation for the visibility of individual points and considers the convergence angles between the cameras. In addition, a straightforward methodology to adjust the real cameras according to the optimization result is presented.
Original languageEnglish
Title of host publicationAdvances in Service and Industrial Robotics, RAAD 2023
Editors Tadej Petrič, Aleš Ude, Leon Žlajpah
Place of PublicationSwitzerland
PublisherSpringer Nature Switzerland AG
Pages45-52
Number of pages8
Volume135
ISBN (Print)978-3-031-32605-9
DOIs
Publication statusPublished - 2023

Publication series

NameMechanisms and Machine Science

Fields of science

  • 203015 Mechatronics
  • 203022 Technical mechanics
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202035 Robotics
  • 203013 Mechanical engineering

JKU Focus areas

  • Digital Transformation

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