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Keep Smiling!

Keep Smiling!. GRIM GRINS. The Project’s member. György Hingyi – programmer & manager1 Péter Szabó – programmer & manager2 Sinan Oz – scientist Krisztina Maróti – do „paper” work . The problem. Smiling faces.

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Keep Smiling!

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  1. Keep Smiling! GRIM GRINS

  2. The Project’s member György Hingyi– programmer & manager1 Péter Szabó – programmer & manager2 Sinan Oz – scientist Krisztina Maróti – do „paper” work

  3. The problem • Smiling faces. • Input: a set of photos of the same person with different face expressions and the information that some of them are smiling faces  • Task: to write a program (e.g., neural network) recognizing the smiling faces of the same person • Output: smiling or not, and the statistics of the implemented method.  • Difficulty: hard

  4. Method Selection • K-nearest neighbors • Neural networks • Ensembles of neural network classifiers • Set of experts • Support Vector Machine • Other methods – Other New brainchild • Etc…

  5. Other’s works • Real-Time Emotion Recognition using Biologically Inspired Models Keith Anderson, Peter W. McOwan – Using SVM • Recognizing Emotion From Facial Expressions: Psychological and Neurological Mechanisms Ralph Adolphs University of Iowa College of Medicine – Using Others • Recognizing Emotion in Speech, F. Dellaert, Proceedings of the ICSLP '96, October, 1996. – Try a lots of method and use combined one. • Emotion Recognition and Its Application to Computer Agents with Spontaneous Interactive Capabilities - Ryohei Nakatsu, Joy Nicholson and Naoko Tosa – Using Neural network

  6. „Our” problem • Smiling faces. • Input: a set of photos of the not same person with different face expressions and the information that some of them are smiling faces  • Task: to write a program (with SVM) recognizing the smiling faces (on video) of the not same person • Output: smiling or not, and the statistics of the implemented method. 

  7. The SVM • Support Vector Learning

  8. Our Solution • step We need lots of pictures: 2. Step Processing the pictures

  9. Our Solution 17x17 22x22 28x28 36x36

  10. Our Solution 4. Input : video file detect face(s) detect emotion

  11. „Future” Work – TO DO What we wanted to do, but we have not enough time…

  12. Vã multumesc foarte mult! Tesekkurler Danke schön Köszönöm a figyelmet Thanks for your attention

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