Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Unbiased Estimation of Ellipses by Bootstrapping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape modeling with point-sampled geometry
ACM SIGGRAPH 2003 Papers
Normal Improvement for Point Rendering
IEEE Computer Graphics and Applications
Point-based multiscale surface representation
ACM Transactions on Graphics (TOG)
Surface and normal ensembles for surface reconstruction
Computer-Aided Design
Nonuniform bilateral filtering for point sets and surface attributes
The Visual Computer: International Journal of Computer Graphics
A Closed-Form Expression of the Positional Uncertainty for 3D Point Clouds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Anisotropic smoothing of point sets
Computer Aided Geometric Design - Special issue: Geometric modelling and differential geometry
Technical Section: Robust normal estimation for point clouds with sharp features
Computers and Graphics
Technical Section: Mesh reconstruction by meshless denoising and parameterization
Computers and Graphics
Bilateral estimation of vertex normal for point-sampled models
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Normal estimation for point clouds: a comparison study for a Voronoi based method
SPBG'05 Proceedings of the Second Eurographics / IEEE VGTC conference on Point-Based Graphics
| Hi-index | 0.00 |
We propose a bootstrap-based method for normal estimation on an unorganised point set. Experimental results show that the accuracy of the method is comparable with the accuracy of the widely used Principal Component Analysis. The main advantage of our approach is that the variance of the normals over the bootstrap samples can be used as a confidence value for the estimated normal. In a proposed application, we use the confidence values to construct a bilateral Gaussian filter for normal smoothing.