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Capturing Reality for a Billiards Simulation

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10324))

Abstract

A mixed reality platform for a billiards simulation was implemented. For a better training experience, the system uses a natural and tangible user interface as input. The system will capture the reality of user manipulations, including the ball motion, observer position, and gesture. The primary input sensor is an RGB-depth camera. With the help of depth information, the capturing process becomes more robust and efficient. In this physical mini-pool table, an inexperienced user can pick a cue and hit a ball easier to get practical training in a game of billiards. However, distance perception is very critical in training. The display simulating the motion parallax effect is helpful for the user to perceive the distance and orientation in a virtual simulation. For convenience, the system allows a natural gesture to interact with the system. With this system, we demonstrate that capturing reality bring real experiences into the virtual world.

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Author information

Authors and Affiliations

  1. Providence University, 200, Sec. 7, Taiwan Boulevard, Shalu District, Taichung City, 43301, Taiwan

    Fuche Wu & Andrew Dellinger

Authors
  1. Fuche Wu
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  2. Andrew Dellinger
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Corresponding author

Correspondence to Fuche Wu .

Editor information

Editors and Affiliations

  1. University of Salento, Lecce, Italy

    Lucio Tommaso De Paolis

  2. University of Paris-Sud, Orsay, France

    Patrick Bourdot

  3. University of Salento, Lecce, Italy

    Antonio Mongelli

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© 2017 Springer International Publishing AG

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Wu, F., Dellinger, A. (2017). Capturing Reality for a Billiards Simulation. In: De Paolis, L., Bourdot, P., Mongelli, A. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2017. Lecture Notes in Computer Science(), vol 10324. Springer, Cham. https://doi.org/10.1007/978-3-319-60922-5_23

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  • DOI: https://doi.org/10.1007/978-3-319-60922-5_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60921-8

  • Online ISBN: 978-3-319-60922-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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