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

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Standard

BullsEye : High-Precision Fiducial Tracking for Table-based Tangible Interaction. / Klokmose, Clemens Nylandsted; Kristensen, Janus Bager; Bagge, Rolf; Halskov, Kim.

Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14 . red. / Raimund Dachselt; Nicholas Graham; Kasper Hornbæk; Miguel Nacenta. Association for Computing Machinery, 2014. s. 269-278 .

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

Harvard

Klokmose, CN, Kristensen, JB, Bagge, R & Halskov, K 2014, BullsEye: High-Precision Fiducial Tracking for Table-based Tangible Interaction. i R Dachselt, N Graham, K Hornbæk & M Nacenta (red), Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14 . Association for Computing Machinery, s. 269-278 , International Conference on Interactive Tabletops and Surfaces, Dresden, Tyskland, 16/11/2014. https://doi.org/10.1145/2669485.2669503

APA

Klokmose, C. N., Kristensen, J. B., Bagge, R., & Halskov, K. (2014). BullsEye: High-Precision Fiducial Tracking for Table-based Tangible Interaction. I R. Dachselt, N. Graham, K. Hornbæk, & M. Nacenta (red.), Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14 (s. 269-278 ). Association for Computing Machinery. https://doi.org/10.1145/2669485.2669503

CBE

Klokmose CN, Kristensen JB, Bagge R, Halskov K. 2014. BullsEye: High-Precision Fiducial Tracking for Table-based Tangible Interaction. Dachselt R, Graham N, Hornbæk K, Nacenta M, red. I Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14 . Association for Computing Machinery. s. 269-278 . https://doi.org/10.1145/2669485.2669503

MLA

Klokmose, Clemens Nylandsted o.a.. "BullsEye: High-Precision Fiducial Tracking for Table-based Tangible Interaction"., Dachselt, Raimund og Graham, Nicholas Hornbæk, Kasper Nacenta, Miguel (red.). Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14 . Association for Computing Machinery. 2014, 269-278 . https://doi.org/10.1145/2669485.2669503

Vancouver

Klokmose CN, Kristensen JB, Bagge R, Halskov K. BullsEye: High-Precision Fiducial Tracking for Table-based Tangible Interaction. I Dachselt R, Graham N, Hornbæk K, Nacenta M, red., Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14 . Association for Computing Machinery. 2014. s. 269-278 https://doi.org/10.1145/2669485.2669503

Author

Klokmose, Clemens Nylandsted ; Kristensen, Janus Bager ; Bagge, Rolf ; Halskov, Kim. / BullsEye : High-Precision Fiducial Tracking for Table-based Tangible Interaction. Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14 . red. / Raimund Dachselt ; Nicholas Graham ; Kasper Hornbæk ; Miguel Nacenta. Association for Computing Machinery, 2014. s. 269-278

Bibtex

@inproceedings{5f407d15244c4ba6af5c8ab9df5d1528,
title = "BullsEye: High-Precision Fiducial Tracking for Table-based Tangible Interaction",
abstract = "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.",
author = "Klokmose, {Clemens Nylandsted} and Kristensen, {Janus Bager} and Rolf Bagge and Kim Halskov",
year = "2014",
doi = "10.1145/2669485.2669503",
language = "English",
isbn = "978-1-4503-2587-5",
pages = "269--278",
editor = "{ Dachselt}, {Raimund } and { Graham}, {Nicholas } and { Hornb{\ae}k}, {Kasper } and { Nacenta}, {Miguel }",
booktitle = "Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, ITS '14",
publisher = "Association for Computing Machinery",

}

RIS

TY - GEN

T1 - BullsEye

T2 - High-Precision Fiducial Tracking for Table-based Tangible Interaction

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

ER -