Efficient feature-preserving local projection operator for geometry reconstruction

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

28 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)861-874
Journal / PublicationCAD Computer Aided Design
Volume45
Issue number5
Online published28 Feb 2013
Publication statusPublished - May 2013

Abstract

This paper proposes an efficient and Feature-preserving Locally Optimal Projection operator (FLOP) for geometry reconstruction. Our operator is bilateral weighted, taking both spatial and geometric feature information into consideration for feature-preserving approximation. We then present an accelerated FLOP operator based on the random sampling of the Kernel Density Estimate (KDE), which produces reconstruction results close to those generated using the complete point set data, to within a given accuracy. Additionally, we extend our approach to time-varying data reconstruction, called the Spatial-Temporal Locally Optimal Projection operator (STLOP), which efficiently generates temporally coherent and stable feature-preserving results. The experimental results show that the proposed algorithms are efficient and robust for feature-preserving geometry reconstruction on both static models and time-varying data sets. © 2013 Elsevier Ltd. All rights reserved.

Research Area(s)

  • Feature-preserving, Geometry reconstruction, Locally optimal projection, Random sampling, Time-varying data

Citation Format(s)

Efficient feature-preserving local projection operator for geometry reconstruction. / Liao, Bin; Xiao, Chunxia; Jin, Liqiang; Fu, Hongbo.

In: CAD Computer Aided Design, Vol. 45, No. 5, 05.2013, p. 861-874.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review