RealityScan 2.1 released!

The new 2.1 release brings powerful automation improvements, enhanced workflows, and broader data support for photogrammetry and LiDAR projects:

🔍 Improved Usability
Better visibility and discoverability of tools and buttons across the ribbons.

📡 SLAM Support
Now supporting SLAM point-cloud imports (e.g. XGRIDS, NavVis)
→ Import trajectories + images, COLMAP scenes, and auto-generate virtual cameras.
→ Easily combine with photogrammetry or other LiDAR data.

🌲 LiDAR Classification
ASPRS classes from .las/.laz files are now supported.
→ Classes are controllable in the 3D view and can be used for selective meshing.

🔄 New Export Formats
• OpenCV export
• Improved COLMAP export
• XMP export (undistorted & original)

🛩️ Trajectory Import (formerly Flight Logs)
More formats and full customization: Euler angle order, mount direction, updated parameters.

📷 New Rendering Features
• Render model images from exact dataset camera positions
• Render normals in camera or world space

🧩 UV Unwrap Enhancements
Checkerboard visualization, better defragmentation, improved default settings.

🔗 REST/gRPC API Plugin
Remote control of workflows – ideal for automated and distributed processing setups.

🐧 RealityScan for Linux (CLI)
A fully scriptable CLI version for alignment, reconstruction, texturing, and export.

🤖 In-App AI Model Updater
Update AI models without reinstalling the application.

⌨️ New CLI Commands
• importColmap
• importBundler
• exportMapsAndMasks
• exportCameraSnapshots

Interested in a dedicated training for RealityScan, TwinMotion or UnrealEngine?

https://lnkd.in/e-Jk4gRT

Feel free to write us a message: info(at)3ds-scan.de

#realityscan
#epic
#photogrammetry
#laserscan
#xgrids
#laserscanning
#slam
#linux