Browse Conference Publications > Information Technology, Compu ... Back to Results
Smile recognition system based on
lip corners identification
Sign-In or PurchaseFull Text
3
Automatic smile recognition plays an important part in several intelligent image processing systems. This paper presents an automatic smile detection system based on lip corners identification. Two different corner detection algorithms are used in this paper to identify lip corners, i.e., the Harris corner detection and the FAST corner detection. The proposed system is tested using our VISiO smiling face database. Our results show that the Harris corner detector yields the best result with 77.5% accuracy while the FAST corner detector gives 72.5% accuracy. However, these results depend on the method of of determining p (the average lip corner position during the training phase).
Published in:
Information Technology, Computer and Electrical Engineering (ICITACEE), 2014 1st International Conference on
Date of Conference:
8-8 Nov. 2014
Institutional Sign In
Royce, E. ; Dept. of Electron. Eng., Satya Wacana Christian Univ., Salatiga, Indonesia ; Setyawan, I. ; Timotius, I.K.
Authors
References
Cited By
Keywords
Metrics
Similar
IEEE Account
»Access Purchased Documents
Profile Information
»Communications Preferences
»Profession and Education
»Technical Interests
Need Help?
»US & Canada: +1 800 678 4333
»Worldwide: +1 732 981 0060
»Contact & Support
IEEE.org IEEE | Xplore Digital Library | IEEE Standards | IEEE Spectrum | More Sites Cart (0) Create Account| | Personal Sign In
Abstract
avg
Personal Sign In Create Account|
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology. © Copyright 2015 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
