Face recognition using fractal codes

Ebrahimpour-Komleh, Hossein, Chandran, Vinod, & Sridharan, Sridha (2001) Face recognition using fractal codes. In Proceedings of International Conference on Image Processing 2001, IEEE, Thessaloniki, Greece.

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In this paper we propose a new method for face recognition using fractal codes. Fractal codes represent local contractive, affine transformations which when iteratively applied to range-domain pairs in an arbitrary initial image result in a fixed point close to a given image. The transformation parameters such as brightness offset, contrast factor, orientation and the address of the corresponding domain for each range are used directly as features in our method. Features of an unknown face image are compared with those pre-computed for images in a database. There is no need to iterate, use fractal neighbor distances or fractal dimensions for comparison in the proposed method. This method is robust to scale change, frame size change and rotations as well as to some noise, facial expressions and blur distortion in the image

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ID Code: 45579
Item Type: Conference Paper
Refereed: No
Keywords: face recognition, fractals, image coding, iterative methods, transforms, blur distortion, brightness offset, contrast factor, facial expressions, fixed point, fractal codes, frame size change, local contractive affine transformations, noise, orientation, range-domain pairs, rotations, scale change, transformation parameters
DOI: 10.1109/ICIP.2001.958050
ISBN: 0780367251
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2001 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 06 Sep 2011 21:41
Last Modified: 14 Jul 2017 07:04

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