Verifying a user in a personal face space

Q. Tao; Raymond N.J. Veldhuis

doi:10.1109/ICARCV.2006.345479

Verifying a user in a personal face space

Q. Tao, Raymond N.J. Veldhuis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

14 Downloads (Pure)

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
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	https://doi.org/10.1109/ICARCV.2006.345479
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
Number	suppl 2

Conference

Conference	9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006
Abbreviated title	ICARCV
Country/Territory	Singapore
City	Singapore
Period	5/12/06 → 8/12/06

Keywords

EWI-8582
IR-63823
METIS-237793
SCS-Safety

Access to Document

10.1109/ICARCV.2006.345479

http://eprints.eemcs.utwente.nl/secure2/8582/01/P1563.pdf

Cite this

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title = "Verifying a user in a personal face space",

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.",

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author = "Q. Tao and Veldhuis, {Raymond N.J.}",

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AU - Veldhuis, Raymond N.J.

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N2 - 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.

AB - 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.

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KW - IR-63823

KW - METIS-237793

KW - SCS-Safety

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DO - 10.1109/ICARCV.2006.345479

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BT - Proceedings of the Ninth International Conference on Control, Automation, Robotics and Vision (ICARCV)

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