Biological and Computer Vision (Hardcover)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	February 2021
Authors:	Gabriel Kreiman
Dimensions:	250 x 180 x 20mm (L x W x T)
Format:	Hardcover
Pages:	280
ISBN-13:	978-1-108-48343-8
Categories:	Books > Social sciences > Psychology > Philosophy & theory of psychology > Cognitive theory Books > Social sciences > Psychology > Cognition & cognitive psychology > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-108-48343-7
Barcode:	9781108483438

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