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Authors: M. F. Karaaba ; O. Surinta ; L. R. B. Schomaker and M. A. Wiering

Affiliation: University of Groningen, Netherlands

ISBN: 978-989-758-090-1

Keyword(s): Eye-pair Detection, Eye Detection, Face Alignment, Face Recognition, Support Vector Machine.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: In face recognition, face rotation alignment is an important part of the recognition process. In this paper, we present a hierarchical detector system using eye and eye-pair detectors combined with a geometrical method for calculating the in-plane angle of a face image. Two feature extraction methods, the restricted Boltzmann machine and the histogram of oriented gradients, are compared to extract feature vectors from a sliding window. Then a support vector machine is used to accurately localize the eyes. After the eye coordinates are obtained through our eye detector, the in-plane angle is estimated by calculating the arc-tangent of horizontal and vertical parts of the distance between left and right eye center points. By using this calculated in-plane angle, the face is subsequently rotationally aligned. We tested our approach on three different face datasets: IMM, Labeled Faces in the Wild (LFW) and FERET. Moreover, to compare the effect of rotational aligning on face recognition p erformance, we performed experiments using a face recognition method using rotationally aligned and non-aligned face images from the IMM dataset. The results show that our method calculates the in-plane rotation angle with high precision and this leads to a significant gain in face recognition performance. (More)

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Paper citation in several formats:
Karaaba, M.; Surinta, O.; Schomaker, L. and Wiering, M. (2015). In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 392-399. DOI: 10.5220/0005308303920399

@conference{visapp15,
author={M. F. Karaaba. and O. Surinta. and L. R. B. Schomaker. and M. A. Wiering.},
title={In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={392-399},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005308303920399},
isbn={978-989-758-090-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection
SN - 978-989-758-090-1
AU - Karaaba, M.
AU - Surinta, O.
AU - Schomaker, L.
AU - Wiering, M.
PY - 2015
SP - 392
EP - 399
DO - 10.5220/0005308303920399

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