Generating Point Clouds at Higher Densities

With guest speaker Louis Simard, Chief Technology Officer at SimActive.

 

Capturing imagery at low altitudes with high-resolution cameras is a game changer for those working with drones. The point clouds produced as a derivative of the mapping process from these systems can rival lidar densities. As modeling from these point clouds becomes more popular to support digital twin technology, the ability to extract more points from more oblique angles becomes favorable. Building on a solid image processing platform, Correlator3D Version 10 incorporates an entirely new approach to image-based point cloud creation, allowing for more oblique coverage, enhanced edge detection, and automated point cloud colorization. Additionally, filtering tools can remove points that will lower accuracies. Join us to learn more about these features and more in this webinar.  

💡Specifically, attendees will learn about the following:

• Using the redesigned UI including new light/dark modes

• Increasing the densities of point clouds 

• Adding oblique imagery to improve results

• Colorizing photogrammetric point clouds automatically 

• Filtering out points with lower accuracies