Exploratory Vision: The Active Eye (Springer Series in Perception Engineering)

Landy, Michael S.; Maloney, Laurence T.; Pavel, Misha

ISBN 10: 0387945636 / ISBN 13: 9780387945637

Published by Springer, US

About this Item

Hardcover edition. Practically Brand New! The covers look great except for an odd crease in the coating of the front cover. The binding is tight. The interior pages are clean and unmarked. The front flyleaf is scuffed. Electronic delivery tracking will be issued free of charge.

Seller Inventory # 10297

Bibliographic Details

• Title: Exploratory Vision: The Active Eye (Springer Series in Perception Engineering)
• Publisher: Springer, US
• Language: English
• ISBN 10: 0387945636
• ISBN 13: 9780387945637
• Binding: Hardcover
• Edition: First Edition.
• Condition: As New
• Dust Jacket Condition: No Jacket
• Dimensions: 9.2W x 6.1H x 0.8D inches 9.2 inches width by 6.1 inches height by 0.8 inches depth

About this title

Synopsis

Advances in sensing, signal processing, and computer technology during the past half century have stimulated numerous attempts to design general-purpose ma­ chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com­ puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the problem is that machine vision sys­ tems cannot deal with numerous visual tasks that humans perform rapidly and effortlessly. In reaction to this perceived discrepancy in performance, various researchers (notably Marr, 1982) suggested that the design of machine-vision systems should be based on principles drawn from the study of biological systems. This "neuro­ morphic" or "anthropomorphic" approach has proven fruitful: the use of pyramid (multiresolution) image representation methods in image compression is one ex­ ample of a successful application based on principles primarily derived from the study of biological vision systems. It is still the case, however, that the perfor­ of computer vision systems falls far short of that of the natural systems mance they are intended to mimic, suggesting that it is time to look even more closely at the remaining differences between artificial and biological vision systems.