In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection

M. F. Karaaba, O. Surinta, L. R. B. Schomaker, M. A. Wiering

2015

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 performance, 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.

Paper Citation

in Harvard Style

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 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 392-399. DOI: 10.5220/0005308303920399

in Bibtex Style

@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 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={392-399},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005308303920399},
isbn={978-989-758-090-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: 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