Computational geometry: an introduction
Computational geometry: an introduction
A Bibliography on Digital and Computational Convexity (1961-1988)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coding of digital straight lines by continued fractions
Computers and Artificial Intelligence
A parametrization of digital planes by least-squares fits and generalizations
Graphical Models and Image Processing
Discrete representation of spatial objects in computer vision
Discrete representation of spatial objects in computer vision
Convexity rule for shape decomposition based on discrete contour evolution
Computer Vision and Image Understanding
Geometrische Transformationen in der diskreten Ebene
Mustererkennung 1989, 11. DAGM-Symposium
Perceptrons: An Introduction to Computational Geometry
Perceptrons: An Introduction to Computational Geometry
Lyndon + Christoffel = digitally convex
Pattern Recognition
Theoretical Computer Science
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Euclidean geometry on a computer is concerned with the translation of geometric concepts into a discrete world in order to cope with the requirements of representation of abstract geometry on a computer. The basic constructs of digital geometry axe digital lines, digital line segments and digitally convex sets. The aim of this paper is to review some approaches for such digital objects. It is shown that digital objects share much of the properties of their continuous counterparts. Finally, it is demonstrated by means of a theorem due to Tietze (1929) that there are fundamental differences between continuous and discrete concepts.