Automatic recognition of facial expressions on iOS platform

Matic Kunaver (2014) Automatic recognition of facial expressions on iOS platform. EngD thesis.

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Abstract

In this diploma thesis we present an algorithm for automatic recognition of facial expressions in images from mobile devices with iOS operating system. In the first step we have to find a face region. In the next step we need to transform input data into a computer readable form. There are several methods for transforming the data. In the last step the data has to be stored and a computer model for predicting facial expressions has to be generated. Prediction is done by using Support Vector Machines. SVM method is fast and reliable. The final result of the work presented in the thesis is a library available to all developers. The library is easy to use and enables developers to get facial expression information with almost zero work. This solution was tested on labeled faces from Cohn-Kanade database and on labeled faces from Kaggle website. All algorithms in this work rely on OpenCV framework. The library works on almost all Apple mobile devices with iOS operating system.

Item Type:

Thesis (EngD thesis)

Keywords:

computer vision, machine learning, facial expressions, mobile phones, data transformation

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Peter Peer	294	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00010687316)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

2596

Date Deposited:

02 Jul 2014 15:17

Last Modified:

28 Jul 2014 10:08

URI:

http://eprints.fri.uni-lj.si/id/eprint/2596

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