Dynamic vision from images to face recognition / [electronic resource] :
Shaogang Gong, Stephen J. McKenna, Alexandra Psarrou.
- Singapore : World Scientific Publishing, [2019]
- 1 online resource (xix, 344 p.)
Includes bibliographical references (p. 315-338) and index.
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.
"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.
Mode of access: World Wide Web. System requirements: Adobe Acrobat Reader.
9781860943850 1860943853
Human face recognition (Computer science) Computer vision.