Abstract
For user verification on a personal digital assistant
(PDA), a fast and simple system is developed. In the enrollment
phase, face detection and registration are done by a Viola-Jones
based method, taking advantage of its accuracy and speed. The
face feature vectors obtained this way are then used to build up a
face space specific to the user by principal component analysis
(PCA). Furthermore, the face variations caused by small
registration shifts are also modeled, in order to better capture the
variation in the face space, and simplify the enrollment. Current
experiments show that this system is fast, efficient, and accurate.
Original language | Undefined |
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Title of host publication | Proceedings of the Ninth International Conference on Control, Automation, Robotics and Vision (ICARCV) |
Place of Publication | USA |
Publisher | IEEE |
Pages | 197-200 |
Number of pages | 4 |
ISBN (Print) | 1-4244-0342-1 |
DOIs | |
Publication status | Published - 5 Dec 2006 |
Event | 9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006 - Grand Hyatt Singapore, Singapore, Singapore Duration: 5 Dec 2006 → 8 Dec 2006 Conference number: 9 |
Publication series
Name | |
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Number | suppl 2 |
Conference
Conference | 9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006 |
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Abbreviated title | ICARCV |
Country/Territory | Singapore |
City | Singapore |
Period | 5/12/06 → 8/12/06 |
Keywords
- EWI-8582
- IR-63823
- METIS-237793
- SCS-Safety