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Author: Joanna Isabelle Olszewska

Affiliation: University of Huddersfield, United Kingdom

Keyword(s): Face Detection, Active Contours, Multiscale Snakes, Multi-feature Vector Flow, Unsupervised Segmentation.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Olszewska, J. (2013). Multi-scale, Multi-feature Vector Flow Active Contours for Automatic Multiple Face Detection. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - MPBS; ISBN 978-989-8565-36-5; ISSN 2184-4305, SciTePress, pages 429-435. DOI: 10.5220/0004342604290435

@conference{mpbs13,
author={Joanna Isabelle Olszewska.},
title={Multi-scale, Multi-feature Vector Flow Active Contours for Automatic Multiple Face Detection},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - MPBS},
year={2013},
pages={429-435},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004342604290435},
isbn={978-989-8565-36-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - MPBS
TI - Multi-scale, Multi-feature Vector Flow Active Contours for Automatic Multiple Face Detection
SN - 978-989-8565-36-5
IS - 2184-4305
AU - Olszewska, J.
PY - 2013
SP - 429
EP - 435
DO - 10.5220/0004342604290435
PB - SciTePress