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

TY - GEN

T1 - BullsEye

T2 - International Conference on Interactive Tabletops and Surfaces

AU - Klokmose, Clemens Nylandsted

AU - Kristensen, Janus Bager

AU - Bagge, Rolf

AU - Halskov, Kim

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

U2 - 10.1145/2669485.2669503

DO - 10.1145/2669485.2669503

M3 - Article in proceedings

SN - 978-1-4503-2587-5

SP - 269

EP - 278

BT - Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14

A2 - Dachselt, Raimund

A2 - Graham, Nicholas

A2 - Hornbæk, Kasper

A2 - Nacenta, Miguel

PB - Association for Computing Machinery

Y2 - 16 November 2014 through 19 November 2014

ER -