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Geometric reconstruction from point-normal data

2010/03/18 by Eleanor Rieffel, Rieffel, Eleanor G., Don Kimber +3
Computer Science · Engineering · #Advanced Vision and Imaging #Computational Geometry (cs.CG) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Satellite Image Processing and Photogrammetry

paper · pdf · doi:10.48550/arxiv.1003.3499

openalex publication_date 2010/03/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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