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Directional Properties of Colour Co-occurrence Feature for Lip Location and Segmentation

Chindaro, Samuel and Deravi, Farzin (2001) Directional Properties of Colour Co-occurrence Feature for Lip Location and Segmentation. In: Audio- and Video-Based Biometric Person Authentication Third International Conference. Lecture Notes In Computer Science . Springer, Berlin, Germany, pp. 84-89. ISBN 978-3-540-42216-7. E-ISBN 978-3-540-45344-4. (doi:10.1007/3-540-45344-X_13) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/3-540-45344-X_13

Abstract

Automatic lip tracking is based on robust lip location and segmentation. Here an algorithm which can locate the position of the lips robustly without the constraints of lip highlighting or special lighting conditions is proposed. The proposed method is based on the directional properties of the features of co-occurrence matrices to distinguish between facial parts. The method essentially consists of three parts: a) a face location module b) a facial features location module c) a feature identification module which identifies the lips. The proposed algorithm uses the hue information only in the HSV colour space. The method has been tested on the XM2VTS database, with a high success rate. The use of hue and textural features to do the processing makes the algorithm robust under various lighting conditions.

Item Type: Book section
DOI/Identification number: 10.1007/3-540-45344-X_13
Uncontrolled keywords: Directional Property, Facial Part, Skin Pixel, Colour Textural Feature, XM2VTS Database
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.B56 Biometrics
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Yiqing Liang
Date Deposited: 30 Oct 2008 20:50 UTC
Last Modified: 01 Aug 2019 10:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/6808 (The current URI for this page, for reference purposes)
Deravi, Farzin: https://orcid.org/0000-0003-0885-437X
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