Biological and computer vision : biological and computer vision / Gabriel Kreiman, Harvard University.

Format:

Book

Author/Creator:

Kreiman, Gabriel, 1971- author.

Language:

English

Subjects (All):

Computer vision.

Vision.

Physical Description:

1 online resource (xxii, 251 pages) : digital, PDF file(s)

Place of Publication:

Cambridge : Cambridge University Press, 2021.

System Details:

text file

PDF

Summary:

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.

Notes:

Title from publisher's bibliographic system (viewed on 08 Feb 2021).

Other Format:

Print version:

ISBN:

9781108649995

Access Restriction:

Restricted for use by site license.