Nobody likes dirty data! So, learn how to clean up your act in this latest installment of our #ScantoBIMUniversity series! LiDAR and Photogrammetry data aren’t perfect; so just like photographers have Photoshop, scan technicians use their tools of choice to “touch-up” their scans by removing pesky “red data”, minimizing “edge bleed”, and electively cleaning out all sorts of flaws in their reality capture data.
ON-DEMAND WEBINAR
Scan to BIM 105: Data Clean-Up Best Practices
In this webinar, learn how you can ensure smooth point cloud post-processing workflows and make your Scan to BIM deliverables look great with best practices, tips, and tricks from our industry panelists!
Highligths from the session include:
Field tips for minimizing noise in your scan data, including “double scan” options on some scanners
- To clean, or not to clean, that is the question! When to do Pre and Post registration clean up, and when you shouldn’t bother
- Differentiate and clean up different types of scanner noise from range, mixed pixel, transient, and reflected/refracted data
- Tips and tricks to speed up or automate your point cloud clean-up
- Segmentation of data – ways to make down-stream consumption easier for your modelers or customers
Fill out the form on the right to watch this fascinating session on-demand!
Fill out the form below to register for the session!
Guest Panelist & Host Information:
Scott Reed
Founder
Prologue
Nathan Wood
Executive Director &
Chief Enabling Officer
Spectrum AEC &
CP Coalition
Silviu Stoian
Director
RC Monkeys
Kelly Cone
VP of Industry Strategy at ClearEdge3D
HOST
