Surface Normals & Properties Estimation on Point Sets
Surface Normals & Properties Estimation on Point Sets
1. Introduction
Point sets or point clouds (PC) are collection of points that represent a 3D shape. It is an inherently discontinuous primitive compared to triangles and volumetric for mesh representation. Often PC’s are acquired without normals from 3D scanners for engineering, medical, or visual effects applications. Point Normals are crucial for shading, determining connectivity among neighboring points, forming surfaces, and geometry processing operations such as denoising and resampling. The purpose of this project is to implement normals estimation techniques for point clouds, and explore the relevant surface parameters.
NB: Posts are excerpts from ongoing thesis reports.
Posted on 07/21/2011, in Point Cloud and tagged estimation, normals, point cloud, point sets, sampling, statistical. Bookmark the permalink. Leave a Comment.







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