Lecture-13 - Recognizing Facial Expressions Lecture-13 Copyright Mubarak Shah 2003 Homework Due November 11 Lecture 9 slide 17 slide 22 Lecture 12

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Copyright Mubarak Shah 2003 Recognizing Facial Expressions Lecture-13
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Copyright Mubarak Shah 2003 Homework, Due November 11 • Lecture 9, slide 17, slide 22 • Lecture 12, page 21 and 22 (three problems).
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Copyright Mubarak Shah 2003 Program II, Due November 16 • Implement Mean shift Algorithm for tracking – Assume that the object location is given in the first frame of the seq – Demonstrate your program on known test seqs – Demonstrate your program on unknown test seqs in the lab – Write a short report: method, problems, results, observations.
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Copyright Mubarak Shah 2003 • Facial expressions reflect the emotional stage of a person. • Recognizing facial expression from video sequences is a challenging problem. • Applications – Perceptual user interface – Video compression (MPEG-4) – Synthesis of facial expressions
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Copyright Mubarak Shah 2003 Facial Expressions •J oy – The eyebrows are relaxed. The mouth is open, and mouth corners pulled back toward ears. • Sadness – The inner eyebrows are bent upward. The eyes are slightly closed. The mouth is relaxed. • Anger – The inner eyebrows are pulled downward and together. The eyes are wide open. The lips are pressed against each other or opened to expose teeth.
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Copyright Mubarak Shah 2003 Facial Expressions • Fear – The eyebrows are raised and pulled together. The inner eyebrows are bent upward. The eyes
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This note was uploaded on 10/04/2011 for the course CAP 6411 taught by Professor Shah during the Spring '09 term at University of Central Florida.

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Lecture-13 - Recognizing Facial Expressions Lecture-13 Copyright Mubarak Shah 2003 Homework Due November 11 Lecture 9 slide 17 slide 22 Lecture 12

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