Mobile phone-based mixed reality: the Snap2Play game |
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Authors: | Tat-Jun Chin Yilun You Celine Coutrix Joo-Hwee Lim Jean-Pierre Chevallet Laurence Nigay |
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Affiliation: | (1) Image Perception, Access and Language Lab, Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore, 119613, Singapore;(2) Laboratoire d’Informatique de Grenoble, Université Joseph Fourier, B.P. 53, 38041 Grenoble cedex 9, France |
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Abstract: | The ubiquity of camera phones provides a convenient platform to develop immersive mixed-reality games. In this paper we introduce
such a game which is loosely based on the popular card game “Memory”, where players are asked to match a pair of identical
cards among a set of overturned cards by revealing only two cards at a time. In our game, the players are asked to match a
“digital card”, which corresponds to a scene in a virtual world, to a “physical card”, which is an image of a scene in the
real world. The objective is to convey a mixed-reality sensation. Cards are matched with a scene identification engine which
consists of multiple classifiers trained on previously collected images. We present our comprehensive overall game design,
as well as implementation details and results. We also describe how we constructed our scene identification engine and its
performance. Finally, we present an analysis of player surveys to gauge the potential market acceptance.
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Keywords: | Mixed reality Scene identification Memory game Mobile phone |
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