Understanding Vision - Theory, Models, and Data

Zusatztext [This book] demonstrates a beautifully logical approach that has been the hallmark of Zhaopings career and which more is needed of to carry the field forward. The preciseness of the mathematics avoids the confusion often entailed when talking about perception, and it is a great example of how models can provide clear insight into a complex biological system. Informationen zum Autor Li Zhaoping obtained her Ph.D. in physics in 1989 from the California Institute of Technology. In 1998, she helped to found the Gatsby Computational Neuroscience Unit in University College London, where she is currently a professor in Computational Neuroscience in its computer science department. Klappentext Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain. This book explains the computational principles and models of biological visual processing, and in particular, primate vision. Zusammenfassung Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain. This book explains the computational principles and models of biological visual processing, and in particular, primate vision. Inhaltsverzeichnis 1: Approach and Scope 2: A Very Brief Introduction of What is Known about Vision Experimentally 3: The Efficient Coding Principle 4: V1 and Information Coding 5: The V1 Hypothesis - creating a bottom up saliency map for preattentive selection and segmentation 6: Visual Recognition as Decoding 7: Epilogue

Produktdetails

• Autoren: Zhaoping Li, Zhaoping, Li Zhaoping, LI (Professor Zhaoping
• Verlag: Oxford University Press
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 08.05.2014
• EAN: 9780199564668
• ISBN: 978-0-19-956466-8
• Seiten: 396
• Themen: Geisteswissenschaften, Kunst, Musik > Psychologie > Theoretische Psychologie; Naturwissenschaften, Medizin, Informatik, Technik > Medizin > Klinische Fächer; Perception, MEDICAL / Ophthalmology, SCIENCE / Life Sciences / Neuroscience, Experimental Psychology, PSYCHOLOGY / Cognitive Psychology & Cognition, Ophthalmology, PSYCHOLOGY / Experimental Psychology, Neurosciences, Cognition and cognitive psychology