Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Zippered polygon meshes from range images
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Surface reconstruction by Voronoi filtering
Proceedings of the fourteenth annual symposium on Computational geometry
Proceedings of the sixth ACM symposium on Solid modeling and applications
Detecting undersampling in surface reconstruction
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Reconstruction and representation of 3D objects with radial basis functions
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Efficient simplification of point-sampled surfaces
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Estimating the in/out function of a surface represented by points
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Multi-level partition of unity implicits
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2004 Papers
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Robust moving least-squares fitting with sharp features
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Provable surface reconstruction from noisy samples
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FSTTCS'06 Proceedings of the 26th international conference on Foundations of Software Technology and Theoretical Computer Science
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EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
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SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
Technical Section: Robust normal estimation for point clouds with sharp features
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ACM SIGGRAPH 2010 papers
Technical Section: Mesh reconstruction by meshless denoising and parameterization
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Technical Section: Orienting unorganized points for surface reconstruction
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Technical Section: Visibility of noisy point cloud data
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ACM Transactions on Graphics (TOG)
SMI 2013: Feature-aware filtering for point-set surface denoising
Computers and Graphics
SMI 2013: Point cloud normal estimation via low-rank subspace clustering
Computers and Graphics
An adaptive normal estimation method for scanned point clouds with sharp features
Computer-Aided Design
Feature-Preserving Surface Reconstruction and Simplification from Defect-Laden Point Sets
Journal of Mathematical Imaging and Vision
Consolidation of low-quality point clouds from outdoor scenes
SGP '13 Proceedings of the Eleventh Eurographics/ACMSIGGRAPH Symposium on Geometry Processing
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We consolidate an unorganized point cloud with noise, outliers, non-uniformities, and in particular interference between close-by surface sheets as a preprocess to surface generation, focusing on reliable normal estimation. Our algorithm includes two new developments. First, a weighted locally optimal projection operator produces a set of denoised, outlier-free and evenly distributed particles over the original dense point cloud, so as to improve the reliability of local PCA for initial estimate of normals. Next, an iterative framework for robust normal estimation is introduced, where a priority-driven normal propagation scheme based on a new priority measure and an orientation-aware PCA work complementarily and iteratively to consolidate particle normals. The priority setting is reinforced with front stopping at thin surface features and normal flipping to enable robust handling of the close-by surface sheet problem. We demonstrate how a point cloud that is well-consolidated by our method steers conventional surface generation schemes towards a proper interpretation of the input data.