Wow! eBook
Advances in Face Image Analysis:Theory and applications
by: Fadi Doaika (Author)
Publication Date: 2016/3/2
Language: English
Print Length: 263 pages
ISBN-10: 1681081113
ISBN-13: 9781681081113
Book Description
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 patte 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 to a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire patte 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.
About the Author
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 patte 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 to a wide audience such as i) researchers and professionals working in the field of face image analysis, ii) the entire patte 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.
