Advances in Face Image Analysis: Techniques and Technologies
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Advances in Face Image Analysis: Techniques and Technologies

Yu-Jin Zhang
Indexed In: SCOPUS View 3 More Indices
Release Date: July, 2010|Copyright: © 2011 |Pages: 404
DOI: 10.4018/978-1-61520-991-0
ISBN13: 9781615209910|ISBN10: 1615209913|EISBN13: 9781615209927
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Description & Coverage
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
Reviews & Statements

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
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Editor/Author Biographies
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.
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