Editor: Fadi Dornaika

Advances in Face Image Analysis: Theory and Applications

eBook: US $29 Special Offer (PDF + Printed Copy): US $146
Printed Copy: US $131
Library License: US $116
ISBN: 978-1-68108-111-3 (Print)
ISBN: 978-1-68108-110-6 (Online)
Year of Publication: 2016
DOI: 10.2174/97816810811061160101


Advances in Face Image Analysis: Theory and applications describes several approaches to facial image analysis and recognition. Eleven chapters cover advances in computer vision and pattern recognition methods used to analyze facial data. The topics addressed in this book include automatic face detection, 3D face model fitting, robust face recognition, facial expression recognition, face image data embedding, model-less 3D face pose estimation and image-based age estimation. The chapters are also written by experts from a different research groups. Readers will, therefore, have access to contemporary knowledge on facial recognition with some diverse perspectives offered for individual techniques. The book is a useful resource for a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire pattern recognition community interested in processing and extracting features from raw face images, and iii) technical experts as well as postgraduate computer science students interested in cutting edge concepts of facial image recognition.


Computer vision is one of the most active research fields in information technology, computer science and electrical engineering due to its numerous applications and major research challenges. Face image analysis constitutes an important field in computer vision and can be a key challenge in developing human-centered technologies. Face image analysis problems have been investigated in computer vision and Human Machine Interaction applications (e.g., identity verification, eye typing, emotion recognition, m-commerce). Making computers understand the contents of images taken by cameras is very challenging, and therefore the computer vision technology faces a lot of challenges. Differed from the biometric problems, e.g., finger-print or iris based recognition; face recognition inherently relies on the un-controlled environment and inevitably suffers from degrading factors such as illumination, expression, pose and age variations. Image-based age estimation is relatively a new research topic. Estimating human age automatically via facial image analysis has lots of potential real-world applications, such as human computer interaction and multimedia communication. This book presents the reader with cutting edge research in the domain of face image analysis. Besides, the book includes recent research works from different world research groups, providing a rich diversity of approaches to the face image analysis. The material covered in the eleven chapters of the book presents new advances on computer vision and pattern recognition approaches, as well as new knowledge and perspectives. The chapters, written by experts in their respective field, will make the reader acquainted with a number of topics and some trendy techniques used to tackle many problems related to face images. It is impressive to note that the editor and authors have tried to capture a wide and dynamic topic. I believe readers will not only learn from this book, but it will be of high reference value as well.

Prof. Denis Hamad
Université du Littoral Côte d’Opale,
Calais, France


.Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms.
.Arduino and SCILAB based Projects.
.Arduino meets MATLAB: Interfacing, Programs and Simulink.
.Budget Optimization and Allocation: An Evolutionary Computing Based Model.