Geometric reconstruction from point-normal data

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.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Eleanor G. Rieffel, Don Kimber, Jim Vaughan
• Keywords: Certain Image-based Modeling, CORR 2010, Education, Real Spaces, Time Consuming