Biological and Computer Vision

AvGabriel Kreiman

Inbunden, Engelska, 2021

1 470 kr

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Häftad

591 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-02-04
Mått:180 x 250 x 20 mm
Vikt:640 g
Format:Inbunden
Språk:Engelska
Antal sidor:274
Förlag:Cambridge University Press
ISBN:9781108483438

Utforska kategorier

Kognitiv psykologi inom Psykologi och pedagogik

Mer om författaren

Gabriel Kreiman is a professor at the Center for Brains, Minds, and Machines and the Children's Hospital at Harvard Medical School. Awards received by Prof. Kreiman include: the National Institute of Health (NIH) New Innovator Award, National Science Foundation (NSF) Career Award, Pisart Award for Vision Resarch, and McKnight Foundation Research Award.

Recensioner i media

'… 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

Innehållsförteckning

1. Introduction to the world of vision; 2. The travels of a photon – natural image statistics and the retina; 3. The phenomenology of seeing; 4. Creating and altering visual percepts through lesions and electrical stimulation; 5. Adventures in terra incognita: probing the neural circuits along the ventral visual stream; 6. From the highest echelons of visual processing to cognition; 7. Neurobiologically plausible computational models; 8. Teaching computers how to see; 9. Towards a world with intelligent machines that can interpret the visual world; 10. Visual consciousness.