April 2nd, Point Cloud Acquisition and Alignment

Session slides:

13 3D point clouds - acquisition & alignment.pdf Download 13 3D point clouds - acquisition & alignment.pdf

Panopto recordings for slides:

1. Point cloud acquisition Links to an external site.
2. Point cloud alignment Links to an external site.
3. Alignment by minimizing point-to-point distances Links to an external site.
4. Alignment by minimizing point-to-plane distances Links to an external site.

Learning check:

The learning check consists of a small programming assignment using Python and Jupyterlab. We use the same environment as for the previous course session. If you haven't done so yet,  download the material and follow the instructions from here: https://github.com/mzwicker/CMSC740-geometry-processing (Links to an external site.)

For this session, complete the assignment in the folder "13 -pointcloud-alignment" and upload your Jupyterlab Notebook file here.