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.
Abstract
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
Citations:
Citation countsare sourced monthly from Scopus and Web of Science citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 45579 |
|---|---|
| Item Type: | Conference Paper |
| 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 Past > Schools > School of Engineering Systems |
| 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: | 07 Sep 2011 07:41 |
| Last Modified: | 08 Sep 2011 17:32 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page