Title: Markerless structure-based multi-sensor calibration for free viewpoint video capture
Authors: Papachristou, Alexandros
Zioulis, Nikolaos
Zarpalas, Dimitrios
Daras, Petros
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. 88-97.
Issue Date: 2018
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2018/!!_CSRN-2801.pdf
ISBN: 978-80-86943-40-4
ISSN: 2464–4617 (print)
2464–4625 (CD-ROM)
Keywords: prostorové vyrovnání;kalibrace externího multisenzoru;sémantická segmentace;zachycení volného pohledu;RGBD
Keywords in different language: spatial alignment;external multi-sensor calibration;semantic segmentation;free-viewpoint capture;RGBD
Abstract: Free-viewpoint capture technologies have recently started demonstrating impressive results. Being able to capture human performances in full 3D is a very promising technology for a variety of applications. However, the setup of the capturing infrastructure is usually expensive and requires trained personnel. In this work we focus on one practical aspect of setting up a free-viewpoint capturing system, the spatial alignment of the sensors. Our work aims at simplifying the external calibration process that typically requires significant human intervention and technical knowledge. Our method uses an easy to assemble structure and unlike similar works, does not rely on markers or features. Instead, we exploit the a-priori knowledge of the structure’s geometry to establish correspondences for the little-overlapping viewpoints typically found in free-viewpoint capture setups. These establish an initial sparse alignment that is then densely optimized. At the same time, our pipeline improves the robustness to assembly errors, allowing for non-technical users to calibrate multi-sensor setups. Our results showcase the feasibility of our approach that can make the tedious calibration process easier, and less error-prone.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2018: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/34628

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