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Doubleshot: an interactive user-aided segmentation tool
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 10th international conference on Intelligent user interfaces table of contents
San Diego, California, USA
SESSION: Short papers: speech- and vision-based interfaces table of contents
Pages: 287 - 289  
Year of Publication: 2005
ISBN:1-58113-894-6
Authors
Tom Yeh  CSAIL, MIT, Cambridge, MA
Trevor Darrell  CSAIL, MIT, Cambridge, MA
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 35,   Citation Count: 2
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ABSTRACT

In this paper, we describe an intelligent user interface designed for camera phones to allow mobile users to specify the object of interest in the scene simply by taking two pictures: one with the object and one without the object. By comparing these two images, the system can reliably extract the visual appearance of the object, which can be useful to a wide-range of applications such as content-based image retrieval and object recognition.


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
Lucas B. and Kanade T., An iterative image registration technique with an application to stereo vision. In Proceedings of the International Joint Conference on Artificial Intelligence, 674--679, 1981.
 
2
New KDDI CDMA wireless handset 2D codes, http://www.3g.co.ul/PR/Jan2004/6278.htm.
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4
Tollmar, K., Yeh,T., and Darrell, T., IDeixis: searching the web with mobile images for location-based information, Mobile HCI 2004: 288--299.