Face detection based on skin color modeling and modified Hausdorff distance

Alajel, Khalid Mohamed and Xiang, Wei and Leis, John (2011) Face detection based on skin color modeling and modified Hausdorff distance. In: CCNC 2011: Emerging and Innovative Consumer Technologies and Applications, 9-12 Jan 2011, Las Vegas, NV. USA.

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This paper presents a new face detection approach which is capable of detecting human faces from complex backgrounds. A new skin color modeling process is applied to the face segmentation process. Image enhancement is then used to improve the features of face candidates before feeding to the face object classifier which is based on a modified Hausdorff distance. The overall performance of the face detection system is evaluated and achieved a success rate of 87.5 %.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted Version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 04 Feb 2011 06:11
Last Modified: 22 Sep 2014 03:18
Uncontrolled Keywords: face detection; complex background; face detection system; face segmentation; human faces; modified Hausdorff distance; skin color modelling
Fields of Research : 09 Engineering > 0999 Other Engineering > 099902 Engineering Instrumentation
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1109/CCNC.2011.5766499
URI: http://eprints.usq.edu.au/id/eprint/8810

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