International Journal of Image Processing and Vision Science IJIPVS

ISSN: 2278-1110

ijcct journal

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IIMT Bhubaneswar

IJIPVS

Machine Learning Approach for Smile Detection in Real Time Machine Learning Approach for Smile Detection in Real Time Images


Harsha Yadappanavar
Department of Computer Science and Engineering P.E.S Institute of Technology Bangalore – 560085, Karnataka, INDIA,

Shylaja S S
Department of Information Science and Engineering P.E.S Institute of Technology Bangalore- 560085, Karnataka, INDIA,


Abstract

Recognizing facial expressions of human beings by a computer is an interesting and challenging problem. A system that performs the operation of face detection and facial feature extraction accurately and in real time would form a big step in achieving a human like interaction between man and machine. In this paper, we propose a method for detecting Smile in real time Images by machine learning approach. Machine learning method involves training a classifier and using it in real time images to determine smile. Our implemented approach has been tested on several Images from different databases and the achieved results were found to be very satisfactory.

Recommended Citation

 Jacob Whitehill, Gwen Littlewort, Ian Fasel,Marian Bartlett “Toward Practical smile Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 2106 – 2111, Vol 31, No 11, 2009 [2] Stelios Krinidis, Ioan Buciu and Ioannis Pitas, “Facial expression analysis and synthesis: A survey”, A white paper by Department of Informatics, Aristotle University of Thessaloniki [3] Maja Pantic and and Leon J.M. Rothkrantz, “Automatic Analysis of Facial Expressions: The State of the Art”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 22, no 12, pp 1424 - 1445 2000 [4] Paul Viola and Michael Jones “Robust Real Time Object Detection”, Second International Workshop On Statistical and Computational Theories Of Vision Modeling, Learning, Computing, and Sampling, 2001 [5] Wataru Hirata, Joo Kooi Tan, Hyongseop Kim, Seiji Ishikawa, “Recognizing Facial Expression for Man machine Interaction”, ICROS-SICE International Joint Conference 2009 August 18-21, 2009, Fukuoka International Congress Center, Japan [6] P Li, S.L.Phung, A. Bouzerdom and F.H.C Tivive “Automatic Recognition of Smiling and Neutral Facial Expressions”, Digital Image Computing: Techniques and Applications, pp. 581 – 586, 2010 [7] Yu-Hao Huang and Chiou-Shann Fuh “Face Detection and Smile Detection”, White Paper, 2009 [8] I M. Bartlett, G. Littlewort, M. Frank, C. Lainscsek, I. Fasel, and J. Movellan, “Automatic recognition of facial actions in spontaneous expressions,” Journal of Multimedia, 2006 [9] N Phillip Ian Wilson and John Fernandez “Facial feature detection using Haar classifiers”, Journal of Computing Sciences, Volume 21 Issue 4, 2006 [10] http://www.cs.ucla.edu/~falaki/pub/adaboost.pdf [11] http://opencv.willowgarage.com/wiki

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