Improving model shape acquisition by incorporating geometric constraints

N. Werghi, R. B. Fisher, A. Ashbrook, C. Robertson
Department of Artificial Intelligence, Edinburgh University

Abstract:

While the problem of model fitting for 3-dimensional range data has been addressed with some success, the problem of increasing the accuracy of the whole fit still remains. This paper describes a technique of global shape improvement based upon feature position and shape constraints. These constraints may be globally applied or inferred from general engineering principles. This paper describe a general, incremental, framework whereby constraints can be added and integrated in the model reconstruction process, resulting on optimal trade-off between minimization of the shape fitting error and the constraint's tolerances.

1 Introduction
2 Background
3 Problem Definition
4 Case of Polyhedral Objects
- 4.1 Planes with a fixed orientation relationship
- 4.2 Parallel planes with a given separation
5 Experiments
- 5.1 The tetrahedron
- 5.2 The stepmodel object
6 Discussion and conclusion
- Acknowledgements
References
About this document ...

Naoufel Werghi
Thu Jul 10 17:36:04 BST 1997