What are Point Clouds.
A point cloud is a set of data points in space, usually in two or three dimensional space. In three-dimensional space, these points represent the X, Y, and Z geometric coordinates of a single point on an underlying surface.
Two commonly-used methods of creating point clouds data are “Photogrammetry” and “Light Detection and Ranging (LIDAR)”.
The Importance of using Point Cloud
Point cloud data often can help users to understand the surrounding reality. Quantifying the dissimilarity between two unstructured 3D point clouds is a challenging task.
How to Model Point Cloud Data
– Deep learning techniques for point cloud data have demonstrated great potentials
– Tensor Regression and Classification Model for Point Cloud
– Bayesian Modeling for Point Cloud