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MUSTARD: a multi user see through AR display

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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MUSTARD: a multi user see through AR display. / Karnik, Abhijit; Mayol-Cuevas, Walterio; Subramanian, Sriram.
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). New York, NY, USA: ACM, 2012. p. 2541-2550.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Karnik, A, Mayol-Cuevas, W & Subramanian, S 2012, MUSTARD: a multi user see through AR display. in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, New York, NY, USA, pp. 2541-2550, CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Austin, Tex., United States, 5/05/12. https://doi.org/10.1145/2207676.2208641

APA

Karnik, A., Mayol-Cuevas, W., & Subramanian, S. (2012). MUSTARD: a multi user see through AR display. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12) (pp. 2541-2550). ACM. https://doi.org/10.1145/2207676.2208641

Vancouver

Karnik A, Mayol-Cuevas W, Subramanian S. MUSTARD: a multi user see through AR display. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). New York, NY, USA: ACM. 2012. p. 2541-2550 doi: 10.1145/2207676.2208641

Author

Karnik, Abhijit ; Mayol-Cuevas, Walterio ; Subramanian, Sriram. / MUSTARD: a multi user see through AR display. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12). New York, NY, USA : ACM, 2012. pp. 2541-2550

Bibtex

@inproceedings{0b375b6f45ad4f239eef9a0c62d716f6,
title = "MUSTARD: a multi user see through AR display",
abstract = "We present MUSTARD, a multi-user dynamic random hole see-through display, capable of delivering viewer dependent information for objects behind a glass cabinet. Multiple viewers are allowed to observe both the physical object(s) being augmented and their location dependent annotations at the same time. The system consists of two liquid-crystal (LC) panels within which physical objects can be placed. The back LC panel serves as a dynamic mask while the front panel serves as the data. We first describe the principle of MUSTARD and then examine various functions that can be used to minimize crosstalk between multiple viewer positions. We compare different conflict management strategies using PSNR and the quality mean opinion score of HDR-VDP2. Finally, through a user-study we show that users can clearly identify images and objects even when the images are shown with strong conflicting regions; demonstrating that our system works even in the most extreme of circumstances.",
keywords = "augmented reality, multi-user, multi-view, random hole display , see-through",
author = "Abhijit Karnik and Walterio Mayol-Cuevas and Sriram Subramanian",
year = "2012",
doi = "10.1145/2207676.2208641",
language = "English",
isbn = "978-1-4503-1015-4 ",
pages = "2541--2550",
booktitle = "Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12)",
publisher = "ACM",
note = "CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems ; Conference date: 05-05-2012 Through 10-05-2012",

}

RIS

TY - GEN

T1 - MUSTARD: a multi user see through AR display

AU - Karnik, Abhijit

AU - Mayol-Cuevas, Walterio

AU - Subramanian, Sriram

PY - 2012

Y1 - 2012

N2 - We present MUSTARD, a multi-user dynamic random hole see-through display, capable of delivering viewer dependent information for objects behind a glass cabinet. Multiple viewers are allowed to observe both the physical object(s) being augmented and their location dependent annotations at the same time. The system consists of two liquid-crystal (LC) panels within which physical objects can be placed. The back LC panel serves as a dynamic mask while the front panel serves as the data. We first describe the principle of MUSTARD and then examine various functions that can be used to minimize crosstalk between multiple viewer positions. We compare different conflict management strategies using PSNR and the quality mean opinion score of HDR-VDP2. Finally, through a user-study we show that users can clearly identify images and objects even when the images are shown with strong conflicting regions; demonstrating that our system works even in the most extreme of circumstances.

AB - We present MUSTARD, a multi-user dynamic random hole see-through display, capable of delivering viewer dependent information for objects behind a glass cabinet. Multiple viewers are allowed to observe both the physical object(s) being augmented and their location dependent annotations at the same time. The system consists of two liquid-crystal (LC) panels within which physical objects can be placed. The back LC panel serves as a dynamic mask while the front panel serves as the data. We first describe the principle of MUSTARD and then examine various functions that can be used to minimize crosstalk between multiple viewer positions. We compare different conflict management strategies using PSNR and the quality mean opinion score of HDR-VDP2. Finally, through a user-study we show that users can clearly identify images and objects even when the images are shown with strong conflicting regions; demonstrating that our system works even in the most extreme of circumstances.

KW - augmented reality

KW - multi-user

KW - multi-view

KW - random hole display

KW - see-through

UR - http://www.scopus.com/inward/record.url?scp=84862086420&partnerID=8YFLogxK

U2 - 10.1145/2207676.2208641

DO - 10.1145/2207676.2208641

M3 - Conference contribution/Paper

SN - 978-1-4503-1015-4

SP - 2541

EP - 2550

BT - Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12)

PB - ACM

CY - New York, NY, USA

T2 - CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Y2 - 5 May 2012 through 10 May 2012

ER -