Computational Imaging and Vision

Discrete Representation of Spatial Objects in Computer Vision

Authors: Latecki, L.J.

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About this book

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)

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-94-015-9002-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-0-7923-4912-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-90-481-4982-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Discrete Representation of Spatial Objects in Computer Vision
Authors
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