Lighting-variable AdaBoost based-on system for robust face detection

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

In order to detect faces in pictures presenting difficult real-world conditions such as dark background or backlighting, we propose a new method which is robust to varying illuminations and which automatically adapts itself to these lighting changes. The proposed face detection technique is based on an efficient AdaBoost super-classifier and relies on multiple features, namely, the global intensity average value and the local intensity variations. Based on tests carried out on standards datasets, our system successfully performs in indoor as well as outdoor situations with different lighting levels.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Bio-inspired Systems and Signal Processing
Place of PublicationPortugal
PublisherSciTePress
Pages494-497
Number of pages4
Volume1
ISBN (Print)9789898425898
DOIs
Publication statusPublished - 2012

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