Tiger training in augmented reality

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Tiger training in augmented reality

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International Multimedia Conference archive
Proceedings of the seventeen ACM international conference on Multimedia table of contents

Beijing, China

DEMONSTRATION SESSION: Technical demonstrations session 2 table of contents

Pages 1019-1020

Year of Publication: 2009

ISBN:978-1-60558-608-3

Authors

Tran Cong Thien Qui	Nanyang Technological University, Singapore
Shang Ping Lee	Nanyang Technological University, Singapore
Shing Chuan Loy	Nanyang Technological University, Singapore
William Russell Pensyl	Nanyang Technological University, Singapore

Sponsor

SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ACM New York, NY, USA

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ABSTRACT

"Tiger Training" explores the relationship between real and virtual worlds via interaction with virtual animals in immersive mixed reality environments. This interactive, participative installation encourages viewers to "train" virtual animals using hand signals and voice commands. Virtual tigers are not easily "trained" requiring learning appropriate ways to coax responsive actions.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	ARToolkit - http://www.hitl.washington.edu/artoolkit/
	2	Changchang, W. SiftGPU: A GPU Implementation of Scale Invariant Feature Transform (SIFT), http://www.cs.unc.edu/~ccwu/siftgpu/
	3	David, G. L. 2004. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, November 2004.
	4	MXRToolkit - http://mxrtoolkit.sourceforge.net/
	5	OGRE - Object-Oriented Graphics Rendering Engine http://www.ogre3d.org/
	6	Reza H., Asadollah S., and Stephan W. 2008. Adaptive Gaussian Mixture Model for Skin Color Segmentation, Proceedings of World Academy of Science, Engineering and Technology, 31 (July 2008)