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8 - Basics of topology and computational geometry

from Part III - Computational geometry

Published online by Cambridge University Press:  05 November 2014

Aly A. Farag
Affiliation:
University of Louisville, Kentucky
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Summary

Introduction

Topology is a branch of mathematics that describes objects using geometry, set theory, and group theory. Geometry deals with primitive figures such as triangles, parallelograms, and polygons. Geometric operations measure lengths, angles and areas of shapes, their congruence, and transformations based on scale, translation, and rotation. These functions are commonly denoted as isometries. Topology deals with such matters as well, but in a more global fashion and with complicated shapes. Computational geometry, a field which started in the 1970s, deals with object models that pertain to computing and visualization. Computational geometry and topology share various terminologies, and both deal with shape modeling.

Advances in data acquisition have enabled reconstruction of high-quality three-dimensional models, on which computational geometry is used for modeling and visualization. Section 8.2 deals with shape representation, as a starting point for geometrical and topological analysis. Section 8.3 deals with topologically equivalent shapes and various entities that define surfaces as manifolds. We consider topological properties of points, curves, and surfaces. We are particularly interested in boundary-based shape representations where the geometrical structure can be described in a parametric form (Section 8.5) or in a piece-wise linear form (Section 8.6). Bézier curves and surfaces are popular parametric surface models. Such models are studied together with polygons, triangles, meshes, curvatures, shape indices, and curvedness.

Type
Chapter
Information
Biomedical Image Analysis
Statistical and Variational Methods
, pp. 183 - 212
Publisher: Cambridge University Press
Print publication year: 2014

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References

Kendall, D. G., The diffusion of shape. Adv. Appl. Prob. 9 (1977) 428–430.CrossRefGoogle Scholar
Marr, D. and Nishihara, H. K., Representation and recognition of the spatial organization of three-dimensional images. Proc. Roy. Soc. London B, 200 (1978) 269–294.CrossRefGoogle Scholar
Woodham, R. J., Stable representation of shape. Computational Processes in Human Vision. New Jersey: Norwood (1987).Google Scholar
Binford, T. O., Survey of model-based image analysis systems. Int. J. Robot. Res. 1(1) (1982) 18–64.CrossRefGoogle Scholar
Brady, M., Criteria for Representations of Shape in Human and Machine Vision. London: Academic Press (1983).Google Scholar
Haralick, R. M., Mackworth, A. K. and Tanimoto, S. L., Computer Vision Update. In Barr, A., Cohen, P. R. and Feigenbaum, E. A. (eds.), The Handbook of Artificial Intelligence Vol. IV. Reading, MA: Addison-Wesley (1989) 519–582.Google Scholar
Mokhtarian, F. and Mackworth, A., A theory of multiscale, curvature-based shape representation for planar curves. IEEE Trans. Pattern Anal. Machine Intel. 14(8) (1992) 789–805.CrossRefGoogle Scholar
Dorai, C. and Jain, A. K., Cosmos – a representation scheme for 3d freeform objects. IEEE Trans. Pattern Anal. Machine Intel. 19(10) (1997) 1115–1130.CrossRefGoogle Scholar
Meyer, M., Desbrun, M., Schroder, P and Barr, A. H., Discrete differential-geometry operators for triangulated 2-manifolds. Berlin: VisMath (2002).

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