DYNAMIC VISION: FROM IMAGES TO FACE RECOGNITION (Image Processing)

Gong, Shaogang,McKenna, Stephen J.,Psarrou, Alexandra

ISBN 10: 1860941818 / ISBN 13: 9781860941818

Published by Imperial College Press, 2000

About this Item

This is a used book in good condition and may show some signs of use or wear . This is a used book in good condition and may show some signs of use or wear .

Seller Inventory # mon0003469799

Bibliographic Details

• Title: DYNAMIC VISION: FROM IMAGES TO FACE RECOGNITION (Image Processing)
• Publisher: Imperial College Press
• Publication Date: 2000
• Language: English
• ISBN 10: 1860941818
• ISBN 13: 9781860941818
• Binding: hardcover
• Condition: Good

About this title

Synopsis

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.

Review

"..is no comparable book that covers the broad and complex domain of adaptive visual recognition in such a readable way." -- Cognitive Systems Research