A Short Review of Methods for Face Detection and Multifractal Analysis

H. Ugail, V. Doherty, R. Zwiggelaar, S. Appleyard, G. Huddy, B. Rajoub, M. H. Yap

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

10 Citations (Scopus)
222 Downloads (Pure)


The purpose of this paper is to present short reviews the face detection techniques and to study the effect of Multifractal analysis in detecting facial features. In reviewing the existing techniques, we have compared the performance of Nilsson et al’s algorithm, Haar Training implemented within Open Source Computer Vision Library (OpenCV) and Keinzle’s algorithm in face detection. Then, we have produced some experimental results suggesting that the Multifractal approach would help to extract key facial features of a human face. We conclude the paper with some discussions on how the work can be taken further.
Original languageEnglish
Title of host publicationInternational Conference on Cyberworlds, 7-11 September, University of Bradford, UK (2009).
PublisherIEEE Press
Number of pages5
ISBN (Electronic)978-0-7695-3791-7
ISBN (Print)978-0-7695-3791-7
Publication statusPublished - 13 Jun 2012


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