Title: Calibrating low-cost structured-light 3D sensors
Authors: Chakib, Reda
Mérillou, Nicolas
Vincent, Pierre-Jean
Mérillou, Stephane
Citation: WSCG 2018: full papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 30-38.
Issue Date: 2018
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: wscg.zcu.cz/WSCG2018/!!_CSRN-2801.pdf
http://hdl.handle.net/11025/34622
ISBN: 978-80-86943-40-4
ISSN: 2464–4617 (print)
2464–4625 (CD-ROM)
Keywords: kalibrace kamery;RGB-D kamera;souřadnicový měřicí stroj;dírkový model;vnitřní kalibrace
Keywords in different language: camera calibration;RGB-D camera;coordinate-measuring machine;pinhole model;intrinsic calibration
Abstract: Consumer-grade RGB-D cameras are widely accessible, but they suffer from a lack of accuracy when compared to professional-grade 3D scanning solutions. In this paper, we propose a new method for calibrating an Intel RealSense SR300 camera, adaptable to other structured light sensors. The method uses classical checkerboard calibration and a coordinate-measuring machine (CMM) based setup with a calibrating plane. It delivers better results than the manufacturers settings.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2018: Full Papers Proceedings

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