Developing and Applying Biologically-Inspired Vision Systems - Interdisciplinary Concepts (Hardcover)


When comparing machine vision systems to the visual systems of humans and animals, there is much to be learned in terms of object segmentation, lighting invariance, and recognition of object categories. Studying the biological systems and applying the findings to the structure of computational vision models and artificial vision systems aims to be an essential approach of advancing the field of machine vision. Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts provides interdisciplinary research which evaluates the performance of machine visual models and systems in comparison to biological systems. Blending the ideas of current scientific knowledge and biological vision, this collection of new ideas intends to inspire approaches and cross-disciplinary research to applications in machine vision.

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Product Description

When comparing machine vision systems to the visual systems of humans and animals, there is much to be learned in terms of object segmentation, lighting invariance, and recognition of object categories. Studying the biological systems and applying the findings to the structure of computational vision models and artificial vision systems aims to be an essential approach of advancing the field of machine vision. Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts provides interdisciplinary research which evaluates the performance of machine visual models and systems in comparison to biological systems. Blending the ideas of current scientific knowledge and biological vision, this collection of new ideas intends to inspire approaches and cross-disciplinary research to applications in machine vision.

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Product Details

General

Imprint

Idea Group,U.S.

Country of origin

United States

Release date

November 2012

Availability

Expected to ship within 12 - 17 working days

First published

September 2012

Editors

,

Dimensions

280 x 216 x 25mm (L x W x T)

Format

Hardcover

Pages

412

ISBN-13

978-1-4666-2539-6

Barcode

9781466625396

Categories

LSN

1-4666-2539-2



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