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Item Details
Title: DISCRETE REPRESENTATION OF SPATIAL OBJECTS IN COMPUTER VISION
By: Longin Jan Latecki
Format: Hardback

List price: £117.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 0792349121
ISBN 13: 9780792349129
Publisher: KLUWER ACADEMIC PUBLISHERS
Pub. date: 31 January, 1998
Series: Computational Imaging and Vision v. 11
Pages: 228
Description: If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. 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.
Synopsis: 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.
Illustrations: biography
Publication: US
Imprint: Kluwer Academic Publishers
Returns: Returnable
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