A growing collection of materials related to computer graphics, 3D visualization, scanning, competitive robotics, VR/AR, motion capture, hardware and programming.
A practical introduction to the terrestrial laser-scanning workflow for cultural heritage sites and other complex environments.
The first part of the video resource presents the field workflow behind reliable spatial documentation and point-cloud acquisition.
Watch on YouTube ↗
A C#/.NET implementation for calculating planar homography directly with MathNet.Numerics, independently of OpenCV.
The project demonstrates mapping between source and reference image planes and applies the resulting homography matrix to accurate track-segment measurements for a line-following robot.
View repository on GitHub ↗