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

Lingua: inglese

Editore: Imperial College Press, United Kingdom, London, 2000

1860941818 / 9781860941818

Da: WorldofBooks, Goring-By-Sea, WS, Regno UnitoWorldofBooks

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Venditore AbeBooks dal 16 marzo 2007

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Condizione: Usato - Molto buono

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Descrizione dell’articolo da parte del venditore

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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Codice articolo GOR007984877

Titolo
Dynamic Vision: From Images to Face Recogintion (Image Processing)
Autore
Shaogang Gong (Queen Mary and Westfield College)
Editore
Imperial College Press, United Kingdom, London
Anno di pubblicazione
2000
Condizione
Very Good
Rilegatura
Paperback
Lingua
inglese
ISBN 10
1860941818
ISBN 13
9781860941818
Peso dell'articolo
612 grammi
Dimensioni
149.86 x 20.32

WorldofBooks

Goring-By-Sea, WS, Regno Unito

Venditore con 5 stelle

Venditore AbeBooks dal 16 marzo 2007

Tariffe di spedizione da Regno Unito a U.S.A.

ArticoloDa 7 a 12 giorni lavorativiDa 5 a 9 giorni lavorativi
Primo articoloEUR 6,69EUR 14,33
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In 2002, World of Books Group was founded on an ethos to do good, protect the planet and support charities by enabling more goods to be reused. Since then, we've grown into to a global company pioneering the circular economy. Today, we drive the circular economy through three re-commerce brands: - Wob: Through Wob, we sell. We provide affordable, preloved books and media to customers all over the world. A book leaves our collection of over seven million titles and begins a new chapter every two seconds, enabling more goods to be reused. - Ziffit: Through Ziffit, we buy. We give people around the world the opportunity to contribute to the circular economy, earn money and protect the planet, by trading their unwanted books and media. - Shopiago: Through Shopiago, we help others. By sharing the technology that has grown World of Books Group into the business it is today, we’re helping charities increase revenue and reduce waste through re-commerce.…

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