Biological and Computer Vision
Format:Hardback
Publisher:Cambridge University Press
Published:4th Feb '21
Currently unavailable, and unfortunately no date known when it will be back
This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.
Vision applications are pervasive from smartphones that recognize faces to automatic analysis of clinical images. This book bridges neuroscience, cognitive science, computer science, and artificial intelligence to explain neural mechanisms of biological vision and how artificial intelligence computer vision systems work.Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems.
'… an interesting analysis of computational modeling for visual consciousness. Impressive in scope, the book is brief, resulting in a text that is quite approachable … Highly recommended.' J. M. Carroll, Choice
ISBN: 9781108483438
Dimensions: 250mm x 180mm x 20mm
Weight: 640g
280 pages