By Topic

An unsupervised face detection based on skin color and geometric information

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yepeng Guan ; Sch. of Commun. & Inf. Eng., Shanghai Univ. ; Lin Yang

A robust algorithm is proposed for face detection in a complex scene in which parts of some faces are overlapped one another, some faces are posed differently, and image contains many different patterns. The algorithm starts from extraction of skin pixels and then segments facial regions overlapping into several separate ones. The divided region is determined whether it contains a face or not by geometric relationship between the extracted lip and eye components. Lip segmentation is proposed based on wavelet multi-scale edge detection across discrete Hartley transform. Eyes are determined with the help of cues of the extracted lip components. Comparative study with some existing face detection algorithms has indicated the superior performance of the developed algorithm from experimental results

Published in:

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on  (Volume:2 )

Date of Conference:

16-18 Oct. 2006