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- Indoor Positioning and Indoor Navigation
- Sep September 30, 2019
Publications
By Don Kimber (Clear Search)
“Notice: FX Palo Alto Laboratory will be closing. All Research and related operations will cease as of June 30, 2020.”
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- HCI International 2019
- Jul July 25, 2019
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- Designing Interactive Systems (DIS) 2019
- Jun June 23, 2019
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- UIST 2016 (Demo)
- Oct October 16, 2016
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- Ro-Man 2016
- Aug August 26, 2016
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- International Workshop on Interactive Content Consumption
- Jun June 22, 2016
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- MobileHCI 2015
- Aug August 24, 2015
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- Presented in "Everyday Telepresence" workshop at CHI 2015
- Apr April 18, 2015
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- Human-Robot Interaction (HRI) 2015
- Mar March 2, 2015
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- MobileHCI 2014 (Industrial Case Study)
- Sep September 23, 2014
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- Assistive Computer Vision and Robotics Workshop of ECCV
- Sep September 12, 2014
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- IPIN2012
- Nov November 13, 2012
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- IPIN2012
- Nov November 13, 2012
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- ACM MM 2012
- Oct October 29, 2012
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- Augmented Human 2011
- Mar March 12, 2011
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- ACM Multimedia 2010 - Industrial Exhibits
- Oct October 25, 2010
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- ISMAR 2010
- Oct October 13, 2010
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- ICME 2010, Singapore, July 19-23 2010
- Jul July 19, 2010
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- SIAM MI'09 monograph. Related talks: SIAM GPM'09, SIAM MI'09, and BAMA (Bay Area Mathematical Adventures)
- May May 1, 2010
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- IEEE Virtual Reality 2010 conference
- Mar March 19, 2010
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- ACM Multimedia
- Oct October 21, 2009
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- Computer Graphics and Virtual Reality (CGVR '09)
- Jul July 13, 2009
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- 2009 IEEE International Conference on Multimedia and Expo (ICME)
- Jun June 30, 2009
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CloseThis paper presents a tool and a novel Fast Invariant Transform (FIT) algorithm for language independent e-documents access. The tool enables a person to access an e-document through an informal camera capture of a document hardcopy. It can save people from remembering/exploring numerous directories and file names, or even going through many pages/paragraphs in one document. It can also facilitate people’s manipulation of a document or people’s interactions through documents. Additionally, the algorithm is useful for binding multimedia data to language independent paper documents. Our document recognition algorithm is inspired by the widely known SIFT descriptor [4] but can be computed much more efficiently for both descriptor construction and search. It also uses much less storage space than the SIFT approach. By testing our algorithm with randomly scaled and rotated document pages, we can achieve a 99.73% page recognition rate on the 2188-page ICME06 proceedings and 99.9% page recognition rate on a 504-page Japanese math book.
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- 2009 IEEE International Conference on Multimedia and Expo (ICME)
- Jun June 30, 2009
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- Immerscom 2009
- May May 27, 2009