Tutorials
The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.
TUTORIALS LIST
The Computational Face
Instructor : Joanna Isabelle Olszewska
The Computational Face
Instructor
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Joanna Isabelle Olszewska
University of the West of Scotland
United Kingdom
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Brief Bio
Joanna Isabelle Olszewska is a British Computer Scientist. She is an Assistant Professor (Lecturer) with UWS, UK, and leads research in Algorithms and Softwares for Intelligent Vision Systems. She is a member of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. She is an ACM Distinguished Speaker and has given talks, e.g. at the University of Cambridge, at conferences such as ICRA, and at events such as EPSRC/BMVA Technical Days and DDD Scotland, ACM Future Worlds as well as interviews, e.g. for the BBC Lunch Time 'Women in Engineering' Program. She has been TPC member of over 70 international conferences such as IJCAI and chaired over 60 conference/workshop sessions, e.g. at IROS.
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Abstract
Abstract: The computational study of people faces has received an increased interest these years with the development of new technologies such as social media, cybersecurity systems, or autonomous agents. Whilst techniques for face detection and recognition are well established, the automatic analysis of faces captured by digital cameras in unconstrained, real-world environment is still very challenging, since it involves large variations in both acquisition conditions as well as in facial expressions and in pose changes. Thus, this tutorial introduces the topic of the Computational Face in light of the main challenges in that research field and the developed solutions and applications based on computer vision and artificial intelligence methods.
Keywords: Intelligent Vision Systems; Pattern Recognition; Security; Robotics; Assistive Technologies; AI Creativity.
Aims and Learning Objectives: This tutorial aims to present the ‘why’ and ‘how’ of the computer-automated face analysis in constrained and unconstrained environments. Participants are expected to acquire new perspective about the Computational Face challenges and solutions. In more detail, the objectives of this tutorial are: I) To appreciate the Computational Face challenges; II) To understand the corresponding scientific and technique solutions for the automated face analysis; III) To get new trends and future directions of the Computational Face research and industrial applications.
Target Audience: This tutorial is intended for a broad spectrum of participants both from academia and industry.
Keywords
Intelligent Vision Systems; Pattern Recognition; Security; Robotics; Assistive Technolgies;
AI Creativity.
Aims and Learning Objectives
This tutorial aims to present the ‘why’ and ‘how’ of the computer-automated face analysis
in constrained and unconstrained environments.
Participants are expected to acquire new perspective about the Computational Face challenges and
solutions. In more detail, the objectives of this tutorial are:
I) To appreciate the Computational Face challenges;
II) To understand the corresponding scientific and technique solutions for the automated face analysis;
III) To get new trends and future directions of the Computational Face research and industrial applications.
Target Audience
This tutorial is intended for a broad spectrum of participants both from academia and industry.
Prerequisite Knowledge of Audience
None.
Detailed Outline
The tentative list of the topics covered by this tutorial is:
a) Face Analysis
b) Pose Variations
c) Facial Expressions
d) Face Ageing
e) Facial Features
f) Face Modeling