While the field of vision science has grown significantly in the past three decades, there have been few comprehensive books that showed readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain.
Understanding Vision explains the computational principles and models of biological visual processing, and in particular, of primate vision. The book is written in such a way that vision scientists, unfamiliar with mathematical details, should be able to conceptually follow the theoretical principles and their relationship with physiological, anatomical, and psychological observations, without going through the more mathematical pages. For those with a physical science background, especially those from machine vision, this book serves as an analytical introduction to biological vision. It can be used as a textbook or a reference book in a vision course, or a computational neuroscience course for graduate students or advanced undergraduate students. It is also suitable for self-learning by motivated readers.
in addition, for those with a focused interest in just one of the topics in the book, it is feasible to read just the chapter on this topic without having read or fully comprehended the other chapters. In particular, Chapter 2 presents a brief overview of experimental observations on biological vision; Chapter 3 is on encoding of visual inputs, Chapter 5 is on visual attentional selection driven by sensory inputs, and Chapter 6 is on visual perception or decoding.
Including many examples that clearly illustrate the application of computational principles to experimental observations, Understanding Vision is valuable for students and researchers in computational neuroscience, vision science, machine and computer vision, as well as physicists interested in visual processes.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Paperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N° de réf. du vendeur GOR014812299
Quantité disponible : 1 disponible(s)
Vendeur : Vive Liber Books, Somers, CT, Etats-Unis
Etat : good. Pages are clean with normal wear. May have limited markings & or highlighting within pages & or cover. May have some wear & creases on the cover. The spine may also have minor wear. May not include CD DVD, access code or any other supplemental materials. N° de réf. du vendeur VLM.REV
Quantité disponible : 1 disponible(s)
Vendeur : Bookbot, Prague, Rébublique tchèque
Softcover. Etat : Fine. Leichte Rillen / Abschürfungen / Risse / Knicke; Gebrochener Buchrücken. The field of vision science has expanded significantly over the past thirty years, yet few comprehensive resources guide readers in adopting a computational approach to visual perception and the brain's underlying mechanisms. This book elucidates the computational principles and models of biological visual processing, particularly in primate vision. It is designed for vision scientists who may not be well-versed in mathematical details, allowing them to grasp theoretical principles and their connections to physiological, anatomical, and psychological observations without delving into complex mathematics. For those with a background in physical sciences, especially machine vision, it serves as an analytical introduction to biological vision. It can function as a textbook or reference for vision or computational neuroscience courses aimed at graduate or advanced undergraduate students, and is also suitable for self-learners. Readers can focus on specific chapters, such as Chapter 2 on experimental observations, Chapter 3 on visual input encoding, Chapter 5 on sensory-driven visual attentional selection, and Chapter 6 on visual perception or decoding. With numerous examples illustrating the application of computational principles to experimental findings, this resource is invaluable for students and researchers in computational neuroscience, vision science, machine vision, and physicists interested in visual processes. N° de réf. du vendeur 6c3a17af-96d5-47c4-99b5-1f5e4464bf07
Quantité disponible : 1 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 31828463-n
Quantité disponible : 17 disponible(s)
Vendeur : INDOO, Avenel, NJ, Etats-Unis
Etat : New. Brand New. N° de réf. du vendeur 9780198829362
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur FU-9780198829362
Quantité disponible : 14 disponible(s)
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 31828463
Quantité disponible : 17 disponible(s)
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. N° de réf. du vendeur fc25f11b2ebe834d244e79a3254f3dc3
Quantité disponible : 14 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur FU-9780198829362
Quantité disponible : 14 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. reprint edition. 400 pages. 9.75x6.75x0.75 inches. In Stock. N° de réf. du vendeur __0198829361
Quantité disponible : 1 disponible(s)