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Cited by 359

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Parameterization-free projection for geometry reconstruction

Lipman, Yaron, Cohen-Or, Daniel, Levin, David, Tal-Ezer, Hillel·2007·ACM Transactions on Graphics

Abstract

We introduce a Locally Optimal Projection operator (LOP) for surface approximation from point-set data. The operator is parameterization free, in the sense that it does not rely on estimating a local normal, fitting a local plane, or using any other local parametric representation. Therefore, it can deal with noisy data which clutters the orientation of the points. The method performs well in cases of ambiguous orientation, e.g., if two folds of a surface lie near each other, and other cases of complex geometry in which methods based upon local plane fitting may fail. Although defined by a global minimization problem, the method is effectively local, and it provides a second order approximation to smooth surfaces. Hence allowing good surface approximation without using any explicit or implicit approximation space. Furthermore, we show that LOP is highly robust to noise and outliers and demonstrate its effectiveness by applying it to raw scanned data of complex shapes.

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Metadata

Authors
Lipman, Y., Cohen-Or, D., Levin, D., & Tal-Ezer, H.
Venue
ACM Transactions on Graphics
Published
2007-07-29
Volume
26
Issue
3
Pages
22
ISSN
  • 0730-0301 (ISSN-L)
  • 1557-7368
OpenAlex
W3137466219
Cited by
359
References
11
FWCI
6.15
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Parameterization-free projection for geometry reconstruction. https://app.cochat.ai/papers/10.1145/1276377.1276405
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Lipman, Y., Cohen-Or, D., Levin, D., & Tal-Ezer, H. (2007). Parameterization-free projection for geometry reconstruction. ACM Transactions on Graphics. https://doi.org/10.1145/1276377.1276405

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