Real Time Facial Expression Recognition using Eigen Faces - By Aadesh - PowerPoint PPT Presentation

Summer Intern Project on Real Time Facial Expression Recognition using Eigen Faces - By Aadesh M Bagmar (U12 CO 092) Project Guide: Dr. M.A.Zaveri Computer Engineering Department

Brief The project aims at developing a robust system for real time analysis and detection of facial expressions and clearly classify them into their respective emotion states using Eigen Face models.

Resources Used • Platform : Linux • Library : OpenCV • Coding Language : C++ and Python • A color camera . • OpenCV API’s. • Databases :  Yale Faces  Jaffe Database

Working The project involves the following steps: Creating the Database using the trainer app. Pre-Processing the image. Training the database. Predicting the outcome/result using the tester app.

The DATABASE The Database showing the 4 expressions given to the trainer app. SAD HAPPY SURPRISE DISGUST

Results Eigen Faces created by the Recognizer Mean Face

SIMULATION

Boundary Conditions for the system

Future Prospects Integration with Speech and Video Processing for better analysis. • Development of an Android application for driver analysis system. • Making the application less susceptible to boundary values and making it more robust. •

References Books: Digital Image Processing by Rafael Gonzales and M Woods. Online Lecture series: Image and Video Processing by Guillermo Spiro, Duke University. (coursera.com) Research Papers: 1. M. Turk and A. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience , 3 (1), 1991a. URL http://www.cs.ucsb.edu/ mturk/Papers/jcn.pdf. 2. M. A. Turk and A. P. Pentland. Face recognition using eigenfaces. In Proc. of Computer Vision and Pattern Recognition , pages 586-591. IEEE, June 1991b. 3. Viola and Jones, Face Detection using Haar wavelets. IEEE, 2001. P. Viola and M. J. Jones, Robust real-time face detection, International Journal of Computer Vision, 57 (2004), pp. 137 – 154. http://dx.doi.org/10.1023/B:VISI.0000013087.49260.fb. 4. Websites: 1. www.opencv.org 2. www.ieeeexplore.ieee.org 3. www.ipol.im 4. http://openbio.sourceforge.net/resources/eigenfaces/eigenfaces-html/facesOptions.html 5. www.cognotics.com

Acknowledgements I would like to take this opportunity to express my profound gratitude to Dr. M.A.Zaveri for his exemplary guidance and monitoring during the entire course of this project. I feel deeply honored to express my deep thanks to dean R&C for giving me this Golden Opportunity through the departmental summer fellowship program.