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

	Joanna Isabelle Olszewska University of the West of Scotland United Kingdom

Brief Bio Dr Joanna Olszewska BSc(Hons) MSc(EPFL) PhD(UCL) CEng CSci FBCS FHEA is a British Computer Scientist. She is an Asst. Professor with UWS, UK, and leads research in Algorithms and Softwares for Trustworthy Intelligent Vision Systems. Senior Member of IEEE, she stands on the IEEE AI Standard Committee and she is part of the IEEE Global Initiative for Ethical Considerations in AI and Autonomous Systems. She is Co-Chair of the IEEE RAS Technical Committee on the Verification of Autonomous Systems. ACM Distinguished Speaker, she has participated in panels about the Future of AI and standardization efforts in robotics and autonomous systems (e.g. at ICRA). She has delivered invited talks (e.g. at the Canadian Mathematical Society, ENS Paris, DDD Scotland Industry forum), keynote talks (e.g. at SBESC), tutorials at conferences (e.g. at ICAART), webinars (e.g. at IEEE) as well as podcasts (e.g. at BCS) and interviews (e.g. at BBC). She has been TPC member of over 100 international conferences (e.g. IJCAI) and has chaired over 70 webinars/seminars/workshops (e.g. IROS). She has served as Technical Program Chair of the IEEE International Conference on Engineering Reliable Autonomous Systems (ERAS). She has been appointed Guest Editor for the Knowledge Engineering Review Journal, Cambridge University Press, and Associate Editor for the Frontiers in Artificial Intelligence journal, the Engineering Applications of Artificial Intelligence journal, and the Machine Learning with Applications journal, Elsevier. Fellow of the British Computer Society, Chartered Engineer, Chartered Scientist, and Fellow of StandICT.eu, she has contributed to 20+ ISO/IEC/IEEE standards in various roles, e.g. Vice-Chair of ISO/IEC/IEEE 41062. She has published 150+ papers and one book – ‘Artificial Intelligence and Software Testing: Building systems you can trust’ – winner of the Independent Press Award.

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.

Secretariat Contacts
e-mail: icaart.secretariat@insticc.org