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Research Paper #868

Title:Improving Model Shape Acquisition by Incorporating Geometric Constraints
Authors:Werghi,N; Fisher,RB; Ashbrook,A; Robertson,C
Date:Sep 1997
Presented:Proc. British Machine Vision Conference BMVC97, Essex, pp 520--529, September 1997
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 describes a general, incremental framework whereby constraints can be added and integrated in the model reconstruction process, resulting in optimal trade-off between minimization of the shape fitting error and the constraint's tolerances.

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