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Can I read From Images to Surfaces: A Computational Study of the Human Early Visual System (Artificial Intelligence) on EtoBox?

From Images to Surfaces: A Computational Study of the Human Early Visual System (Artificial Intelligence) by William Eric Leifur Grimson is a nonfiction available to read on EtoBox.

What is From Images to Surfaces: A Computational Study of the Human Early Visual System (Artificial Intelligence) about?

The projection of light rays onto the retina of the eye forms a two-dimensional image, but through combining the stereoscopic aspect of vision with other optical clues by means of some remarkably effective image-processing procedures, the viewer is able to perceive three-dimensional representations of scenes. From Images to Surfaces proposes and examines a specific image-processing procedure to account for this remarkable effect-a computational approach that provides a framework for understanding the transformation of a set of images into a representation of the shapes of surfaces visible in a scene. Although much of the analysis is applicable to any visual information processing system-biological or artificial-Grimson constrains his final choice of computational algorithms to those that are biologically feasible and consistent with what is known about the human visual system. In order to clarify the analysis, the approach distinguishes three independent levels: the computational theory itself, the algorithms employed, and the underlying implementation of the computation, in this case through the human neural mechanisms. This separation into levels facilitates the generation of s

Who reads From Images to Surfaces: A Computational Study of the Human Early Visual System (Artificial Intelligence)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
William Eric Leifur Grimson
Publisher
The MIT Press
Published
1981
Language
EN
ISBN
9780262070836
Category
nonfiction
Subjects
Medical, Psychology, Computer Science

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