Mincheol Yoon
Surface and normal ensembles for surface reconstruction
Yoon, Mincheol; Lee, Yunjin; Lee, Seungyong; Ivrissimtzis, Ioannis; Seidel, Hans-Peter
Authors
Yunjin Lee
Seungyong Lee
Dr Ioannis Ivrissimtzis ioannis.ivrissimtzis@durham.ac.uk
Associate Professor
Hans-Peter Seidel
Abstract
The majority of the existing techniques for surface reconstruction and the closely related problem of normal reconstruction are deterministic. Their main advantages are the speed and, given a reasonably good initial input, the high quality of the reconstructed surfaces. Nevertheless, their deterministic nature may hinder them from effectively handling incomplete data with noise and outliers. An ensemble is a statistical technique which can improve the performance of deterministic algorithms by putting them into a statistics based probabilistic setting. In this paper, we study the suitability of ensembles in normal and surface reconstruction. We experimented with a widely used normal reconstruction technique [Hoppe H, DeRose T, Duchamp T, McDonald J, Stuetzle W. Surface reconstruction from unorganized points. Computer Graphics 1992;71–8] and Multi-level Partitions of Unity implicits for surface reconstruction [Ohtake Y, Belyaev A, Alexa M, Turk G, Seidel H-P. Multi-level partition of unity implicits. ACM Transactions on Graphics 2003;22(3):463–70], showing that normal and surface ensembles can successfully be combined to handle noisy point sets.
Citation
Yoon, M., Lee, Y., Lee, S., Ivrissimtzis, I., & Seidel, H. (2007). Surface and normal ensembles for surface reconstruction. Computer-Aided Design, 39(5), 408-420. https://doi.org/10.1016/j.cad.2007.02.008
Journal Article Type | Article |
---|---|
Publication Date | May 1, 2007 |
Deposit Date | Jun 6, 2007 |
Journal | Computer-Aided Design |
Print ISSN | 0010-4485 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 39 |
Issue | 5 |
Pages | 408-420 |
DOI | https://doi.org/10.1016/j.cad.2007.02.008 |
Keywords | Surface reconstruction, Normal estimation, Ensemble. |
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