From Images To Surfaces Human Early Visual System Grimson 1981 Collectible

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賣家備註
“Minor shelf wear and rubbing. Interior pages are clean, bright and tight with a "T" stamp on the ...
Country of Origin
United States
Features
Collection
Educational Level
Adult & Further Education
ISBN
9780262571852
類別

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Product Identifiers

Publisher
MIT Press
ISBN-10
0262571854
ISBN-13
9780262571852
eBay Product ID (ePID)
43751809

Product Key Features

Number of Pages
274 Pages
Publication Name
From Images to Surfaces : a Computational Study of the Human Early Visual System
Language
English
Publication Year
1981
Subject
Computer Science
Type
Textbook
Subject Area
Computers
Author
William Eric Leifur Grimson
Series
Artificial Intelligence Ser.
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
14 Oz
Item Length
8.9 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Reviews
"The original theory of stereopsis on which Grimson's work is based has been substantially improved as an effect of his computer experiments. The second part of the book goes well beyond the theory of stereopsis. It considers the difficult question of how the sparse information retrieved by stereopsis can be interpolated into smooth continuous surfaces-as we are accustomed to see around us. This elegant theoretical study of the interpolation problem is rich with several nontrivial mathematical results, which are important for a number of applications in computer vision." -Tomaso Poggio
Grade From
College Graduate Student
Illustrated
Yes
Synopsis
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 specific models from general concepts. This research effort had its origin in a theory of human stereo vision recently developed by David Marr and Tomaso Poggio. Grimson presents a computer implementation of this theory that serves to test its adequacy and provide feedback for the identification of unsuspected problems embedded in it. The author then proceeds to apply and extend the theory in his analysis of surface interpolation through the computational methodology. This methodology allows the activity of the human early visual system to be followed through several stages: the Primal Sketch, in which intensity changes at isolated points on a surface are noted; the Raw 2.5-D Sketch, in which surface values at these points are computed; and the Full 2.5-D Sketch, in which these values--ncluding stereo and motion perception--are interpolated over the entire surface. These stages lead to the final 3-D Model, in which the three-dimensional shapes of objects, in object-centered coordinates, are made explicit., 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.

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