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calibDB: Enabling Web Based Computer Vision through on-the-fly Camera Calibration

: Rojtberg, Pavel; Gorschlüter, Felix


Spencer, S.N. ; Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Computer Graphics and Interactive Techniques -SIGGRAPH-:
Web3D 2019, 24th International Conference on 3D Web Technology. Proceedings : Los Angeles, California, July 26-28, 2019
New York: ACM, 2019
ISBN: 978-1-4503-6798-1
Art. 4, 4 S.
International Conference on 3D Web Technology (WEB3D) <24, 2019, Los Angeles/Calif.>
Fraunhofer IGD ()
tracking; computer vision; distributed systems; calibration; Lead Topic: Visual Computing as a Service; Research Line: Computer vision (CV); Research Line: Human computer interaction (HCI); computer vision; web services; camera calibration

For many computer vision applications, the availability of camera calibration data is crucial as overall quality heavily depends on it. While calibration data is available on some devices through Augmented Reality (AR) frameworks like ARCore and ARKit, for most cameras this information is not available. Therefore, we propose a web based calibration service that not only aggregates calibration data, but also allows calibrating new cameras on-the-fly. We build upon a novel camera calibration framework that enables even novice users to perform a precise camera calibration in about 2 minutes. This allows general deployment of computer vision algorithms on the web, which was previously not possible due to lack of calibration data.