Discrete Representation of Spatial Objects in Computer Vision
Authors: Latecki, L.J.
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- About this book
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One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main difficulty is that discrete representations are only approximations of the original objects, and can only be as accurate as the cell size allows. If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. To overcome this, digital shape features must be used that abstract from the inaccuracies of digital representation. In order to ensure the correspondence of continuous and digital features, it is necessary to relate shape features of the underlying continuous objects and to determine the necessary resolution of the digital representation.
This volume gives an overview and a classification of the actual approaches to describe the relation between continuous and discrete shape features that are based on digital geometric concepts of discrete structures.
Audience: This book will be of interest to researchers and graduate students whose work involves computer vision, image processing, knowledge representation or representation of spatial objects.
- Table of contents (7 chapters)
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Introduction
Pages 1-31
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Basic Definitions and Propositions
Pages 33-43
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Graph-based Approach
Pages 45-71
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Axiomatic Approach
Pages 73-91
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Embedding Approach
Pages 93-106
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Table of contents (7 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Discrete Representation of Spatial Objects in Computer Vision
- Authors
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- L.J. Latecki
- Series Title
- Computational Imaging and Vision
- Series Volume
- 11
- Copyright
- 1998
- Publisher
- Springer Netherlands
- Copyright Holder
- Springer Science+Business Media Dordrecht
- eBook ISBN
- 978-94-015-9002-0
- DOI
- 10.1007/978-94-015-9002-0
- Hardcover ISBN
- 978-0-7923-4912-9
- Softcover ISBN
- 978-90-481-4982-7
- Series ISSN
- 1381-6446
- Edition Number
- 1
- Number of Pages
- XII, 216
- Topics
