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Multi-Scale, Multi-Feature Vector Flow Active Contours for Automatic Multiple-Face Detection

Olszewska, Joanna Isabelle (2013) Multi-Scale, Multi-Feature Vector Flow Active Contours for Automatic Multiple-Face Detection. In: Proceedings of the 6th International Conference on Bio-Inspired Systems and Signal Processing. BIOSTEC 2013 . Springer Verlag, Barcelona, Spain, pp. 429-435.

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Abstract

To automatically detect faces in real-world images presenting challenges such as complex background and multiple foregrounds, we propose a new method which is based on parametric active contours and which does not require any supervision, model nor training. The proposed face detection technique computes multi-scale representations of an input color image and based on them initializes the multi-feature vector flow active contours which, after their evolution, automatically delineate the faces. In this way, our computationally efficient system successfully detects faces in complex pictures with varying numbers of persons of diverse gender and origins and with different types of face views (front/profile) and variate face alignments straight/oblique), as demonstrated in tests carried out on several datasets.

Item Type: Book Chapter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
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Depositing User: Joanna Olszewska
Date Deposited: 09 May 2013 09:56
Last Modified: 05 Dec 2016 01:10
URI: http://eprints.hud.ac.uk/id/eprint/17406

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