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Discrete combinatorial geometry

delete1997-10-01
delete13
PRE
AI
Y
Yukiko Kenmochi⋆
A
Atsushi Imiya
A
Akira Ichikawa
DOI:10.1016/S0031-3203(97)00001-0delete
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Abstract

Abstract

En 中文
In computer vision, one of the ultimate aims is the determination of geometric properties of 3-dimensional objects in our real world from measured data. As an expression intermediate between measured raw data and geometric properties, we need a method of representing objects in computers. For the object representations, geometry which uses only finite-precision numbers is necessary because in computers we can only manipulate finite-precision numbers. In this paper, we develop a new geometry, which we call discrete combinatorial geometry due to the discreteness of the space of finite-precision numbers, applying fundamental definitions of classical combinatorial geometry. Using discrete combinatorial geometry, we introduce a new method for representing curves, surfaces and objects in computers. We also show that our new representation is based on the fact that the boundary of a surface consists of curves and the boundary of an object consists of surfaces. (C) 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.
Keywords:
combinatorial geometry
simplex
complex
curve
surface
object
boundary
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Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

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