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arXiv · 1003.3499

Geometric reconstruction from point-normal data

Eleanor G. Rieffel·Don Kimber·Jim Vaughan
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Abstract

Creating virtual models of real spaces and objects is cumbersome and time consuming. This paper focuses on the problem of geometric reconstruction from sparse data obtained from certain image-based modeling approaches. A number of elegant and simple-to-state problems arise concerning when the geometry can be reconstructed. We describe results and counterexamples, and list open problems.

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Eleanor G. Rieffel, Don Kimber, Jim Vaughan. 2010-03-18. Geometric reconstruction from point-normal data. https://arxiv.org/abs/1003.3499

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