@inproceedings{0f916a5a9bd54ef0b2a1cb7b9ae9db58,
title = "Optimal Camera Placement for Maximized Motion Capture Volume and Marker Visibility",
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.",
author = "Jakob Ziegler and Hubert Gattringer and Andreas M{\"u}ller",
year = "2023",
doi = "10.1007/978-3-031-32606-6_6",
language = "English",
isbn = "978-3-031-32605-9",
volume = "135",
series = "Mechanisms and Machine Science",
publisher = "Springer Nature Switzerland AG",
pages = "45--52",
editor = "{Tadej Petri{\v c}, Ale{\v s} Ude, Leon {\v Z}lajpah}",
booktitle = "Advances in Service and Industrial Robotics, RAAD 2023",
}