Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Smooth surface reconstruction via natural neighbour interpolation of distance functions
Proceedings of the sixteenth annual symposium on Computational geometry
Delaunay based shape reconstruction from large data
PVG '01 Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics
Proceedings of the conference on Visualization '01
Estimating surface normals in noisy point cloud data
Proceedings of the nineteenth annual symposium on Computational geometry
Ray Tracing Point Set Surfaces
SMI '03 Proceedings of the Shape Modeling International 2003
Shape modeling with point-sampled geometry
ACM SIGGRAPH 2003 Papers
Provable surface reconstruction from noisy samples
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
ACM SIGGRAPH 2004 Papers
Reconstructing surfaces using envelopes: bridging the gap between theory and practice
ACM SIGGRAPH 2006 Research posters
Surface and normal ensembles for surface reconstruction
Computer-Aided Design
Voronoi-based variational reconstruction of unoriented point sets
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Normal cone approximation and offset shape isotopy
Computational Geometry: Theory and Applications
Technical Section: Robust normal estimation for point clouds with sharp features
Computers and Graphics
Out-of-core real-time visualization of massive 3D point clouds
Proceedings of the 7th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa
A local-frame based method for vector field construction on raw point cloud
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
SMI 2011: Full Paper: Harmonic point cloud orientation
Computers and Graphics
An autonomous six-DOF eye-in-hand system for in situ 3D object modeling
International Journal of Robotics Research
3D shape from unorganized 3d point clouds
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Ensembles for normal and surface reconstructions
GMP'06 Proceedings of the 4th international conference on Geometric Modeling and Processing
Bootstrap-based normal reconstruction
Proceedings of the 7th international conference on Curves and Surfaces
Instant points: fast rendering of unprocessed point clouds
SPBG'06 Proceedings of the 3rd Eurographics / IEEE VGTC conference on Point-Based Graphics
Multimodal segmentation of dense depth maps and associated color information
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
A benchmark for surface reconstruction
ACM Transactions on Graphics (TOG)
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Many applications that process a point cloud data benefit from a reliable normal estimation step. Given a point cloud presumably sampled from an unknown surface, the problem is to estimate the normals of the surface at the data points. Two approaches, one based on numerical optimizations and another based on Voronoi diagrams are known for the problem. Variations of numerical approaches work well even when point clouds are contaminated with noise. Recently a variation of the Voronoi based method is proposed for noisy point clouds. The centrality of the normal estimation step in point cloud processing begs a thorough study of the two approaches so that one knows which approach is appropriate for what circumstances. This paper presents such results.