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OverviewA description of 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. Full Product DetailsAuthor: Shaogang Gong (Queen Mary, Univ Of London, Uk) , Stephen J Mckenna (Univ Of Dundee, Uk) , Alexandra Psarrou (Univ Of Westminster, Uk)Publisher: Imperial College Press Imprint: Imperial College Press Dimensions: Width: 15.60cm , Height: 2.30cm , Length: 23.40cm Weight: 0.635kg ISBN: 9781860941818ISBN 10: 1860941818 Pages: 364 Publication Date: 15 May 2000 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsDynamic Vision is a unique book. To my knowledge, there is no comparable book that covers the broad and complex domain of adaptive visual recognition in such a readable way. The clear presentation style helps the reader to appreciate the painstaking work involved in making the automatic recognition of faces possible - the authors were successful in providing 'a coherent and unified treatment of the issue from a computational and systems perspective' and highly recommend the book to any researcher interested in face recognition or visual recognition in general. Cognitive Systems Research Author InformationTab Content 6Author Website:Countries AvailableAll regions |