Visual similarity issues in face recognition Online publication date: Sat, 29-Nov-2014
by Andrzej Sluzek; Mariusz Paradowski
International Journal of Biometrics (IJBM), Vol. 4, No. 1, 2012
Abstract: The paper discusses several issues of visual similarity in face detection and recognition. Using a straightforward concept of keypoint correspondences, a method is proposed to formalise the subjective impressions of 'similar faces', 'similar eyes', 'similar chins', etc. The method exploits the mechanism of affine near-duplicate fragment detection originally proposed for visual information retrieval. It is shown that using such a method, a simple and relatively reliable face detection/identification systems can be build without any model (or training) of human faces, which can work with images containing multiple faces shown on random backgrounds. Additionally, it is proposed how the same approach can be used to optimise databases of face images and to identify individuals who are at higher risks of mistaken face identification.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biometrics (IJBM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com