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Dynamic vision [electronic resource] : from images to face recognition / Shaogang Gong, Stephen J. McKenna, Alexandra Psarrou.

By: Gong, Shaogang.
Contributor(s): McKenna, Stephen J, 1969- | Psarrou, Alexandra.
Material type: materialTypeLabelBookPublisher: Singapore : World Scientific Publishing, [2019]Description: 1 online resource (xix, 344 p.).ISBN: 9781860943850; 1860943853.Subject(s): Human face recognition (Computer science) | Computer visionGenre/Form: Electronic books.DDC classification: 006.3/7 Online resources: Access to full text is restricted to subscribers.
Contents:
Background. About face ; Perception and representation ; Learning under uncertainty -- From sensory to meaningful perception. Selective attention : where to look ; A face model : what to look for ; Understanding pose ; Prediction and adaptation -- Models of identity. Single-view identification ; Multi-view identification ; Identifying moving faces -- Perception in context. Perceptual integration ; Beyond faces -- Appendices. Databases ; Commercial systems ; Mathematical details.
Summary: "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."--Publisher's website.
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Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

"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."--Publisher's website.

Background. About face ; Perception and representation ; Learning under uncertainty -- From sensory to meaningful perception. Selective attention : where to look ; A face model : what to look for ; Understanding pose ; Prediction and adaptation -- Models of identity. Single-view identification ; Multi-view identification ; Identifying moving faces -- Perception in context. Perceptual integration ; Beyond faces -- Appendices. Databases ; Commercial systems ; Mathematical details.

Includes bibliographical references (p. 315-338) and index.

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