Reliable Face Recognition Methods
Reliable Face Recognition Methods seeks to comprehensively address the face recognition problem while drawing inspiration and gaining new insights from complementary fields of endeavor such as neurosciences, statistics, signal and image processing, computer vision, and machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future R&D.
With its well-focused approach and clarity of presentation, this new text/reference is an excellent resource for computer scientists and engineers, researchers, and professionals who need to learn about face recognition. In addition, the book is ideally suited to students studying biometrics, pattern recognition, and human-computer interaction.
Face Recognition: Methods, Applications and Technology
Face recognition has been an active area of research in image processing and computer vision due to its extensive range of prospective applications re...
Handbook of Face Recognition
Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still...
Correlation Pattern Recognition
Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometri...
Speech Recognition
Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems:...
Human Recognition at a Distance in Video
Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challengin...