Point Cloud Processing

Point Cloud Processing pipeline includes data preparation, segmentation and classification. Point clouds can be generated from different sources, for example they can generated from 3D surfaces of a CAD model, or even from RGB-D images. For more general information about point clouds see this page. In the following, more technical aspects of point clouds will be discussed.

A point cloud data (PCD) of a geometric object, is a set of $n$points where each point $P_{i}$ is represented by its 3D coordinates as:

$$PCD = \left\{P_i\left(x_i, y_i, z_i\right): i=1, \ldots, n\right\}$$

robotic-software/perception/tutorial_projects/extracting_point_cloud_from_a_rgbd_image_in_python.ipynb at 6ae5b37e5cdf4836a811ee8acf5608f1d0adafee · rahimisaeed/robotic-softwareGitHub