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User Guidance for Interactive Camera Calibration

: Rojtberg, Pavel


Chen, J.Y.:
Virtual, Augmented and Mixed Reality - Multimodal Interaction : 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019, Proceedings, Part I
Cham: Springer Nature, 2019 (Lecture Notes in Computer Science 11574)
ISBN: 978-3-030-21606-1 (Print)
ISBN: 978-3-030-21607-8 (Online)
International Conference on Virtual, Augmented and Mixed Reality (VAMR) <11, 2019, Orlando/Fla.>
International Conference on Human-Computer Interaction (HCI International) <21, 2019, Orlando/Fla.>
Fraunhofer IGD ()
Augmented reality (AR); augmented environment; interaction; Lead Topic: Visual Computing as a Service; Research Line: Computer vision (CV); Research Line: Human computer interaction (HCI)

For building a Augmented Reality (AR) pipeline, the most crucial step is the camera calibration as overall quality heavily depends on it. In turn camera calibration itself is influenced most by the choice of camera-to-pattern poses – yet currently there is only little research on guiding the user to a specific pose. We build upon our novel camera calibration framework that is capable to generate calibration poses in real-time and present a user study evaluating different visualization methods to guide the user to a target pose. Using the presented method even novel users are capable to perform a precise camera calibration in about 2 min.