Stereo vision based 3D game interface

Peng Lu; Yisong Chen; Chao Dong

doi:10.1117/12.832628

30 October 2009 Stereo vision based 3D game interface

Peng Lu, Yisong Chen, Chao Dong

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 749609 (2009) https://doi.org/10.1117/12.832628
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Currently, keyboards, mice, wands and joysticks are still the most popular interactive devices. While these devices are mostly adequate, they are so unnatural that they are unable to give players the feeling of immersiveness. Researchers have begun investigation into natural interfaces that are intuitively simple and unobtrusive to the user. Recent advances in various signal-processing technologies, coupled with an explosion in the available computing power, have given rise to a number of natural human computer interface (HCI) modalities: speech, vision-based gesture recognition, etc. In this paper we propose a natural three dimensional (3D) game interface, which uses the motion of the player fists in 3D space to achieve the control of sixd egree of freedom (DOFs). And we also propose a real-time 3D fist tracking algorithm, which is based on stereo vision and Bayesian network. Finally, a flying game is used to test our interface.

Citation Download Citation

Peng Lu, Yisong Chen, and Chao Dong "Stereo vision based 3D game interface", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 749609 (30 October 2009); https://doi.org/10.1117/12.832628

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