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