Content

Facial image processing and analysis is the task of automatically analyzing face images in order to acquire information about the depicted persons. This includes a person’s identity, emotional and cognitive state, facial gestures, age and gender. The application domains for this are security, smart environments, human-computer interfaces, and content-based image and video analysis.

This seminar aims at introducing theoretical and practical aspects on the area of automatic face analysis to the students.

Possible topics for seminar talks are:

• Face detection
• Facial feature localization
• Face modeling
• Face recognition and verification
• Facial expression analysis
• Emotion classification
• Facial gesture recognition
• Age estimation
• Gender classification

Recommendations

Basic knowledge of pattern recognition as presented in the lecture Cognitive Systems are expected

Goals

• The seminar offers students the opportunity to get familiar with a specific topic in the area of facial analysis
• The student shall learn to independently and effictively investigate and structure scientific literature
• The student shall learn to present his findings in a talk
• The student shall learn to do a scientific presentation and a discussion in English
• The student shall learn to write a scientific reports in English

Comments

• The seminar will be held in English and will be graded for Master students
• As criteria for the grade for Master students the presentation, report and collaboration within the seminar will be taken into account
• The report is due on the day the presentation will be held
• For the seminar students, attending each of the seminar meetings is mandatory

Material

• Template for Powerpoint slides
• Template for LaTeX-Beamer slides
• Template for report
• Webpage of Workshop on Scientific Writing (only accessible inside the university network)

Dates

• 20.10.2011, Tobias Gehrig: Introduction [pdf]
• 19.01.2012, Mykola Volovyk: Face Recognition [pdf]
  Paper:
  • Qi Yin, Xiaoou Tang, and Jian Sun, "An Associate-Predict Model for Face Recognition", Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR), 2011, pp. 497-504. [pdf]
• 19.01.2012, Narine Kokhlikyan: Age Estimation [pdf]
  Papers:
  • Xin Geng, Zhi-Hua Zhou, and Kate Smith-Miles, "Automatic Age Estimation Based on Facial Aging Patterns", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 12, Dec. 2007, pp. 2234-2240. [pdf]
  • Xin Geng, Kate Smith-Miles, and Zhi-Hua Zhou, "Facial Age Estimation by Learning from Label Distributions", in Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10), 2010, pp. 451-456. [pdf]
• 26.01.2012, Socrates Ponce: Continuous Emotion Recognition [pdf]
  Papers:
  • Hatice Gunes, Björn Schuller, Maja Pantic, and Roddy Cowie, "Emotion Representation, Analysis and Synthesis in Continuous Space: A Survey", in Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2011. [pdf]
  • Mihalis A. Nicolaou, Hatice Gunes, and Maja Pantic, "Output-Associative RVM Regression for Dimensional and Continuous Emotion Prediction", in Proceedings of IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011, pp. 16–23. [pdf]
• 26.01.2012, Matthias Sperber: Recognizing Micro-Expressions & Spontaneous Expressions [pdf]
  Papers:
  • Tomas Pfister, Xiaobai Li, Guoying Zhao, and Matti Pietikäinen, "Recognising Spontaneous Facial Micro-expressions", in Proceedings of the International Conference on Computer Vision (ICCV), 2011, pp. 1449-1456. [pdf]
  • Tomas Pfister, Xiaobai Li, Guoying Zhao, and Matti Pietikäinen, "Differentiating Spontaneous From Posed Facial Expressions Within a Generic Facial Expression Recognition Framework", in Proceedings of Workshop on Socially Intelligent Surveillance and Monitoring, International Conference on Computer Vision (ICCV), 2011, pp. 868-875. [pdf]