Low complexity smile detection technique for mobile devices

Valeria Tomaselli; Mirko Guarnera; Claudio Domenico Marchisio; Simone Moro

doi:10.1117/12.2002449

6 March 2013 Low complexity smile detection technique for mobile devices

Valeria Tomaselli, Mirko Guarnera, Claudio Domenico Marchisio, Simone Moro

Proceedings Volume 8661, Image Processing: Machine Vision Applications VI; 86610O (2013) https://doi.org/10.1117/12.2002449
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

In this paper, we propose a low complexity smile detection technique, able to detect smiles in a variety of light conditions, face positions, image resolutions. The proposed approach firstly detects the faces in the image, then applies almost cost-free mouth detection, extracts features from this region and finally classifies between smiling and nonsmiling stages. In this paper different feature extraction methods and classification techniques are analyzed from both the performance and computational complexity standpoints. The best compromise between performances and complexity is represented by a combined approach which exploits both a shape feature and a texture feature and uses the Mahalanobis distance based classifier. This solution achieves good performances with very low complexity, being suitable for an implementation on mobile devices.

Citation Download Citation

Valeria Tomaselli, Mirko Guarnera, Claudio Domenico Marchisio, and Simone Moro "Low complexity smile detection technique for mobile devices", Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 86610O (6 March 2013); https://doi.org/10.1117/12.2002449

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KEYWORDS

Mouth

Mahalanobis distance

Feature extraction

Facial recognition systems

Databases

Detection and tracking algorithms

Image resolution

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