Face Analysis Under Uncontrolled Conditions


From Face Detection to Expression Recognition


SCIENCES - Information Seeking in Images and Videos

Face Analysis Under Uncontrolled Conditions

Edited by

Romain Belmonte, University of Lille, France
Benjamin Allaert, IMT Nord Europe, France


ISBN : 9781789451115

Publication Date : September 2022

Hardcover 310 pp

165.00 USD

Co-publisher

Description


Face analysis is essential for a large number of applications such as human-computer interaction or multimedia (e.g. content indexing and retrieval). Although many approaches are under investigation, performance under uncontrolled conditions is still not satisfactory. The variations that impact facial appearance (e.g. pose, expression, illumination, occlusion, motion blur) make it a difficult problem to solve.

This book describes the progress towards this goal, from a core building block – landmark detection – to the higher level of micro and macro expression recognition. Specifically, the book addresses the modeling of temporal information to coincide with the dynamic nature of the face. It also includes a benchmark of recent solutions along with details about the acquisition of a dataset for such tasks.

Contents


Part 1. Facial Landmark Detection
1. Facial Landmark Detection by Romain Belmonte, Pierre Tirilly, Ioan Marius Bilasco, Nacim Ihaddadene and Chaabane Djeraba.
2. Effectiveness of Facial Landmark Detection by Romain Belmonte, Pierre Tirilly, Ioan Marius Bilasco, Nacim Ihaddadene and Chaabane Djeraba.
3. Facial Landmark Detection with Spatio-temporal Modeling by Romain Belmonte, Pierre Tirilly, Ioan Marius Bilasco, Nacim Ihaddadene and Chaabane Djeraba.

Part 2. Facial Expression Analysis
4. Extraction of Facial Features by Benjamin Allaert, Ioan Marius Bilasco and Chaabane Djeraba.
5. Facial Expression Modeling by Benjamin Allaert, Ioan Marius Bilasco and Chaabane Djeraba.
6. Facial Motion Characteristics by Benjamin Allaert, Ioan Marius Bilasco and Chaabane Djeraba.
7. Micro- and Macro-Expression Analysis by Benjamin Allaert, Ioan Marius Bilasco and Chaabane Djeraba.
8. Towards Adaptation to Head Pose Variations by Benjamin Allaert, Ioan Marius Bilasco and Chaabane Djeraba.

About the authors


Romain Belmonte is a postdoctoral researcher in computer science at the University of Lille, France. His current research interests include computer vision, deep learning and human behavior analysis.

Benjamin Allaert is an associate professor at the IMT Nord Europe, the leading institute of technology in France. His research focuses on the development of digital simulations, deep learning and decision models to help humans better interact with their environment.