Dynamic Vision: From Images to Face Recognition (Image Processing)

Description

Face recognition is a task that the human vision system seems to perform almost effortlessly, yet the goal of building computer-based systems with comparable capabilities has proven to be difficult. The task implicitly requires the ability to locate and track faces through often complex and dynamic scenes. Recognition is difficult because of variations in factors such as lighting conditions, viewpoint, body movement and facial expression. Although evidence from psychophysical and neurobiological experiments provides intriguing insights into how we might code and recognise faces, its bearings on computational and engineering solutions are far from clear. The study of face recognition has had an almost unique impact on computer vision and machine learning research at large. It raises many challenging issues and provides a good vehicle for examining some difficult problems in vision and learning. Many of the issues raised are relevant to object recognition in general.

This book describes the latest models and algorithms that are capable of performing face recognition in a dynamic setting. The key question is how to design computer vision and machine learning algorithms that can operate robustly and quickly under poorly controlled and changing conditions. Consideration of face recognition as a problem in dynamic vision is perhaps both novel and important. The algorithms described have numerous potential applications in areas such as visual surveillance, verification, access control, video-conferencing, multimedia and visually mediated interaction.

The book will be of special interest to researchers and academics involved in machine vision, visual recognition and machine learning. It should also be of interest to industrial research scientists and managers keen to exploit this emerging technology and develop automated face and human recognition systems. It is also useful to postgraduate students studying computer science, electronic engineering, information or systems engineering, and cognitive psychology.

Disclaimer:
Contents of this page are indexed from this page for search purpose only. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Dynamic Vision: From Images to Face Recognition (Image Processing)" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 2460
2. Tensors in Image Processing and Computer Vision (Advances in Pattern Recognition)
3. Artificial Vision: Image Description, Recognition, and Communication (Signal Processing and its Applications)
4. Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
5. Image Processing in C: Analyzing and Enhancing Digital Images
6. Image Processing in C: Analyzing and Enhancing Digital Images
7. Image Processing in C: Analyzing and Enhancing Digital Images
8. Image Processing in C: Analyzing and Enhancing Digital Images, 2nd Edition
9. Image Processing in C: Analyzing and Enhancing Digital Images with 3.5 Disk
10. Image Processing in C: Analyzing and Enhancing Digital Images, 2nd Edition
11. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
12. Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
13. [share_ebook] Image Processing in C: Analyzing and Enhancing Digital Images, 2nd Edition
14. Hexagonal Image Processing: A Practical Approach (Advances in Pattern Recognition)
15. Hexagonal Image Processing: A Practical Approach (Advances in Pattern Recognition)
16. Hexagonal Image Processing: A Practical Approach (Advances in Pattern Recognition)