Convolutional neural networks with balanced batches for facial expressions recognition

Elena Battini Sönmez; Angelo Cangelosi

doi:10.1117/12.2268412

17 March 2017 Convolutional neural networks with balanced batches for facial expressions recognition

Elena Battini Sönmez, Angelo Cangelosi

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410J (2017) https://doi.org/10.1117/12.2268412
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

This paper considers the issue of fully automatic emotion classification on 2D faces. In spite of the great effort done in recent years, traditional machine learning approaches based on hand-crafted feature extraction followed by the classification stage failed to develop a real-time automatic facial expression recognition system. The proposed architecture uses Convolutional Neural Networks (CNN), which are built as a collection of interconnected processing elements to simulate the brain of human beings. The basic idea of CNNs is to learn a hierarchical representation of the input data, which results in a better classification performance. In this work we present a block-based CNN algorithm, which uses noise, as data augmentation technique, and builds batches with a balanced number of samples per class. The proposed architecture is a very simple yet powerful CNN, which can yield state-of-the-art accuracy on the very competitive benchmark algorithm of the Extended Cohn Kanade database.

Citation Download Citation

Elena Battini Sönmez and Angelo Cangelosi "Convolutional neural networks with balanced batches for facial expressions recognition", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410J (17 March 2017); https://doi.org/10.1117/12.2268412

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available