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Computer vision in the interface
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Communications of the ACM archive
Volume 47 ,  Issue 1  (January 2004) table of contents
Multimodal interfaces that flex, adapt, and persist
SPECIAL ISSUE: Multimodal interfaces that flex, adapt, and persist table of contents
Pages: 60 - 67  
Year of Publication: 2004
ISSN:0001-0782
Author
Matthew Turk  University of California, Santa Barbara
Publisher
ACM  New York, NY, USA
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ABSTRACT

There are still obstacles to achieving general, robust, high-performance computer vision systems. The last decade, however, has seen significant progress in vision technologies for human-computer interaction.


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.

 
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Wu, Y. and Huang, T.S. Human hand modeling, analysis and animation in the context of human computer interaction. IEEE Signal Processing, special issue on Immersive Interactive Technology 18, 3 (2001), 51--60.
 
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Zhao, W., Chellappa, R., Rosenfeld, A., and Phillips, J. Face recognition: A literature survey. Technical Report, CS-TR4167R. University of Maryland, College Park, MD, 2002.