| Document Date: 2014-03-06 16:42:20
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City New York / / Company Open Source Software / IEEE/RSJ Intl / IEEE Intl / Optical Pose-Tracking Systems / Intel / The times / / Country Switzerland / United States / / Facility Cambridge University / OpenCV library / University of Zurich / / IndustryTerm motion capture systems / camera calibration tools / motioncapture systems / Correspondence search / onboard-processing power / brute-force correspondence search / monocular vision-based pose estimation systems / open-source software / http / OperatingSystem L3 / / Organization University of Zurich / Cambridge University / National Centre of Competence / Swiss National Science Foundation / / Person Flavio Fontana / Matthias Faessler / Elias Mueggler / Dobb / Davide Scaramuzza Abstract / Karl Schwabe / / ProgrammingLanguage C / C++ / / Technology radiation / Virtual Reality / P3P algorithm / 2 1 0 1 1 Algorithm / PnP algorithms / Operating System / / URL http /
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A Monocular Pose Estimation System based on Infrared LEDs Matthias Faessler, Elias Mueggler, Karl Schwabe and Davide Scaramuzza Abstract— We present an accurate, efficient, and robust pose estimation system based on in