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Clutter-aware adaptive projection inside a dynamic environment
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Source
Virtual Reality Software and Technology archive
Proceedings of the 2008 ACM symposium on Virtual reality software and technology table of contents
Bordeaux, France
POSTER SESSION: Posters table of contents
Pages 241-242  
Year of Publication: 2008
ISBN:978-1-59593-951-7
Authors
Thitirat Siriborvornratanakul  University of Tokyo
Masanori Sugimoto  University of Tokyo
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a framework for a computationally adaptive projection metaphor using a handheld projector inside a dynamic cluttered environment. In addition to conventional self-correcting projection features, the framework uses multiple clutter tracking and adaptive target generation to define the clutter-aware target area for projection in a reliable manner. Using a paired projector-camera system, the framework first builds high spatial frequency feature maps using a Laplacian pyramid approach. The feature maps are then passed to a rejection step to eliminate spurious features caused by contents of the projected image. After the resulting features representing clutters are processed by the appropriated design tracker, the target area for projection is generated. Finally, the desired information for projection is rendered and sent back to the projector. The framework can be used effectively for a clutter-aware handheld projector-based system without the need for a complex hardware setup or with any prior need to clean up the environment.


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
Burt, P. J. and Adelson, E. H. 1983. The Laplacian pyramid as a compact image code. In IEEE Transactions on Communications 1983.
 
2
Ng, W., Li, J., Godsill, S. and Vermaak, J. 2005. A hybrid approach for online joint detection and tracking for multiple targets. In Proceedings of IEEE Aerospace Conference 2005.
 
3
Sukthankar, R., Stockton, R. G. and Mullin, M. D. 2001. Smarter presentations: Exploiting homography in camera-projector systems. In Proceedings of International Conference on Computer Vision (ICCV) 2001.

Collaborative Colleagues:
Thitirat Siriborvornratanakul: colleagues
Masanori Sugimoto: colleagues