Discrete Representation of Spatial Objects in Computer Vision

L. J. Latecki

ISBN 10: 9048149827 / ISBN 13: 9789048149827

Published by Springer, 2010

About this Item

Discrete Representation of Spatial Objects in Computer Vision | L. J. Latecki | Taschenbuch | xii | Englisch | 2010 | Springer | EAN 9789048149827 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 107181389

Bibliographic Details

• Title: Discrete Representation of Spatial Objects in Computer Vision
• Publisher: Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 9048149827
• ISBN 13: 9789048149827
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 13D millimeters 244 millimeters width by 170 millimeters height by 13 millimeters depth
• Weight: 409 grams
• Seller catalogs:
  • Bücher

About this title

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.