Advances in Face Image Analysis: Techniques and Technologies: 9781615209910: Medicine & Healthcare Books

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781615209910

EISBN13: 9781615209927

DOI: 10.4018/978-1-61520-991-0

Description:

Video and image analysis of the human face provides a wealth of information about the individual, , including age, behavior, health and profession. With research continually being conducted into multiple applications of this field, a comprehensive and detailed volume of the new advancements of face image analysis is in demand.

Advances in Face Image Analysis: Techniques and Technologies fulfills this need, reviewing and surveying new forward-thinking research and development in face image analysis technologies. With more than 30 leading experts from around the world providing comprehensive coverage of various branches of face image analysis, this book is a valuable asset for students, researchers and practitioners engaged in the study, research and development of face image analysis techniques.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Configural Processing Hypothesis and Face-Inversion Effect
Discriminant Learning Using Training Space Partitioning
Facial Expression Analysis by Machine Learning
Facial Feature Detection Algorithms
Feature Selection in High Dimension
Gabor and Log-Gabor Wavelet for Face Recognition
Invariance with Compound Image Transforms
Photometric Normalization for Illumination Invariance
Subtle Facial Expression Recognition
Transform Based Feature Extraction

Search this Book:

Reset

Indexing

Reviews

To push the deep theoretical study of this important area, to prompt the further development of face analysis techniques, and to guide the people working in image area for applying suitable methods, a comprehensive and detailed volume for the new advancements of face image analysis would be a must, and these are the overall objectives and the main mission of this book. Comprehensive coverage of various branches of face image analysis is provided by more than 30 leading experts from 16 countries and regions around the world.

– Yu-Jin Zhang, Tsinghua University, China

Yu-Jin Zhang, PhD, State University of Liège, Belgium, is Professor of Image Engineering at Tsinghua University, Beijing, China. Previously, he was with the Delft University of Technology, the Netherlands. In 2003, he spent the sabbatical year as visiting professor at National Technological University, Singapore. His research interests are mainly in the area of image engineering, including image processing, image analysis and image understanding, as well as their applications. He has published nearly 400 research papers and more than 20 books, including three monographs: Image Segmentation (Science Press, 2001), Content-based Visual Information Retrieval (Science Press, 2003) and Subspace-based Face Recognition (Tsinghua University Press, 2009), as well as two edited collections: Advances in Image and Video Segmentation (IRM Press, 2006) and Semantic-based Visual Information Retrieval (IRM Press, 2007). He is vice president of China Society of Image and Graphics and the director of the academic committee of the society. He is deputy editor-in-chief of Journal of Image and Graphics and at the editorial board of several international journals. He was the program co-chair of The First, Second, Fourth, and Fifth International Conference on Image and Graphics (ICIG'2000, ICIG'2002, ICIG'2007, and ICIG'2009). He is a senior member of IEEE.

All IGI Global Scientific Publishing content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global Scientific Publishing published content is available in the IGI Global Scientific Publishing InfoSci® platform.

We are committed to continually improving our platform to meet WCAG standards. We have used automated scans as well as manual review to identify and resolve compatibility issues. Our goal is to ensure all of our content is easily accessible to all users.

Current Accessibility Implementations
Screen reader compatible web pages with properly labeled elements.
Text alternatives for non-text content so it can be changed into large print, braille, speech, symbols, or simpler language.
User interface can be navigated using only a keyboard - no keyboard traps.
Consistent navigation on all web pages.
Meaningful section heading are used to organize content in a logical manner.
Logical focus order of elements on each web page.
No web pages contain any flashing, or design elements that are known to cause seizures or physical reactions.
Text has high contrast, with a contrast ratio of at least 4.5:1.
Responsive design, with text that can be resized without loss of content or functionality.

Learn More