Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65552
Title: Smile detection in the wild with deep convolutional neural networks
Authors: Chen, J
Ou, Q
Chi, Z
Fu, H
Keywords: Convolution neural network
Deep learning
Feature learning
In the wild
Smile detection
Issue Date: 2017
Publisher: Springer
Source: Machine vision and applications, 2017, v. 28, no. 1-2, p. 173-183 How to cite?
Journal: Machine vision and applications 
Abstract: Smile or happiness is one of the most universal facial expressions in our daily life. Smile detection in the wild is an important and challenging problem, which has attracted a growing attention from affective computing community. In this paper, we present an efficient approach for smile detection in the wild with deep learning. Different from some previous work which extracted hand-crafted features from face images and trained a classifier to perform smile recognition in a two-step approach, deep learning can effectively combine feature learning and classification into a single model. In this study, we apply the deep convolutional network, a popular deep learning model, to handle this problem. We construct a deep convolutional network called Smile-CNN to perform feature learning and smile detection simultaneously. Experimental results demonstrate that although a deep learning model is generally developed for tackling “big data,” the model can also effectively deal with “small data.” We further investigate into the discriminative power of the learned features, which are taken from the neuron activations of the last hidden layer of our Smile-CNN. By using the learned features to train an SVM or AdaBoost classifier, we show that the learned features have impressive discriminative ability. Experiments conducted on the GENKI4K database demonstrate that our approach can achieve a promising performance in smile detection.
URI: http://hdl.handle.net/10397/65552
ISSN: 0932-8092
EISSN: 1432-1769
DOI: 10.1007/s00138-016-0817-z
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Aug 11, 2017

Page view(s)

13
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.