PRIMORIS      Contacts      FAQs      INSTICC Portal


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.


The Computational Face 
Lecturer(s): Joanna Isabelle Olszewska

The Computational Face


Joanna Isabelle Olszewska
University of Gloucestershire
United Kingdom
Brief Bio
Joanna Isabelle Olszewska is a Senior Lecturer in United Kingdom. She obtained BEng, MSc degrees in Electrical Engineering and DEA and PhD degrees in Computer Science from the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland and the University of Louvain (UCL), Belgium, respectively. Her research interests include algorithms, signal and image processing, computer vision, pattern recognition, and artificial intelligence. She has been a Program Committee Member of many technical conferences such as IJCAI, and she has chaired more than fifty research seminar presentations and international conference sessions.

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.


Intelligent Vision Systems; Pattern Recognition; Security; Robotics; Assistive Technolgies;
AI Creativity.

Target Audience

This tutorial is intended for a broad spectrum of participants both from academia and industry.

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

Secretariat Contacts