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Perceptual Organization for Artificial Vision Systems : The Springer International Engineering and Computer Science - Kim L. Boyer

Perceptual Organization for Artificial Vision Systems

The Springer International Engineering and Computer Science

By: Kim L. Boyer (Editor), Sudeep Sarkar (Editor)

Hardcover Published: 31st March 2000
ISBN: 9780792377993
Number Of Pages: 349

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Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.'
Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization.
Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.

Contributing Authors
Introduction
Focused Deliberations
Principles and Methods
Learning and Perceptual Organization
Spatiotemporal Grouping
Discourses in Human and Machine Vision
Gestalt: From Phenomena to Laws
Convexity in Perceptual Completion
A Gestalt Model of Spatial Perception
What Makes Viewpoint Invariant Properties Perceptually Salient?
Contour and Texture Analysis for Image Segmentation
Perceptual Organization for Generic Object Description
Toward Richer Labels for Visual Structure
Tensor Voting
An observation on saliency
Closed Curves in the Analysis and Segmentation of Images
The curve indicator random field: Curve organization via edge correlation
Euler Spiral for Shape Completion
Bayesian Extraction of Collinear Segment Chains from Digital Images
Object Detection by Multiprimitive Preattentive Perceptual Organization
Index
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780792377993
ISBN-10: 0792377990
Series: The Springer International Engineering and Computer Science
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 349
Published: 31st March 2000
Publisher: SPRINGER VERLAG GMBH
Country of Publication: US
Dimensions (cm): 24.64 x 15.9  x 2.46
Weight (kg): 0.71

Earn 456 Qantas Points
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