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BullsEye: High-Precision Fiducial Tracking for Table-based Tangible Interaction

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

This paper proposes a series of techniques for improving the precision of optical fiducial tracking on tangible tabletops. The motivation is to enable convincing interactive projection mapping on tangibles on the table, which requires a high precision tracking of the location of tangibles. We propose a new fiducial design optimized for GPU based tracking, a technique for calibrating light that allows for computation on a greyscale image rather than a binarized black and white image, an automated technique for compensating for optical distortions in the camera lenses, and a tracking algorithm implemented primarily in shaders on the GPU. The techniques are realized in the BullsEye computer vision software. We demonstrate experimentally that BullsEye provides sub-pixel accuracy down to a tenth of a pixel, which is a significant improvement compared to the commonly used reacTIVision software.
Original languageEnglish
Title of host publicationProceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14
EditorsRaimund Dachselt, Nicholas Graham, Kasper Hornbæk, Miguel Nacenta
Number of pages10
PublisherAssociation for Computing Machinery
Publication year2014
Pages 269-278
ISBN (print)978-1-4503-2587-5
Publication statusPublished - 2014
EventInternational Conference on Interactive Tabletops and Surfaces - Dresden, Germany
Duration: 16 Nov 201419 Nov 2014


ConferenceInternational Conference on Interactive Tabletops and Surfaces

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