Pyramidal Architectures for Computer Vision

Pyramidal Architectures for Computer Vision

by Virginio Cantoni, Marco Ferretti
     
 

View All Available Formats & Editions

The authors provide an in-depth, comprehensive examination of hierarchical parallel systems within a comparative and taxonomical framework. They include a general introduction to hierarchical structures, possible topologies, and possible designs; an in-depth discussion of all proposed or built hierarchical parallel systems; and language supports and programming

Overview

The authors provide an in-depth, comprehensive examination of hierarchical parallel systems within a comparative and taxonomical framework. They include a general introduction to hierarchical structures, possible topologies, and possible designs; an in-depth discussion of all proposed or built hierarchical parallel systems; and language supports and programming strategies. Their work will serve as both a teacher and reference to programmers and students in computer sciences and electrical engineering.

Editorial Reviews

Booknews
Explains how to deal with the vast quantity of data required for computer vision by starting with a low spatial resolution (and therefore a small amount of data) and proceeding through successive refinements to the final verification of the results at the highest resolution available. Provides the groundwork for the architectural analysis described, surveys the actual machines and/or prototypes that can be called pyramidal, and discusses how to use programming tools such as languages and development tools to make a system easy for end users. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9781461360230
Publisher:
Springer US
Publication date:
12/31/2013
Series:
Advances in Computer Vision and Machine Intelligence Series
Edition description:
Softcover reprint of the original 1st ed. 1994
Pages:
335
Product dimensions:
6.00(w) x 9.00(h) x 0.74(d)

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >