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Seminar Facial Image Processing and Analysis

Seminar Facial Image Processing and Analysis
Type: seminar
Semester: WS 11/12
Place:

Room R223, Building 50.20

Time:

Thursdays from 11:30h to 13:00h

Start: 20.10.2011
Lecturer:

Hazım Ekenel
Tobias Gehrig
Rainer Stiefelhagen

SWS: 2
ECTS: 3
Lv-No.: 24359
Information:

There are still places available for the seminar. If you like to register please send an e-mail to Dr. Hazım Ekenel or Tobias Gehrig.

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

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]