VRMesh 11.3 Released, Focuses on Breakline Extraction

Bellevue, WA., October 5, 2020 – VirtualGrid is pleased to announce the availability of VRMesh v11.3, the latest version of its powerful point cloud and mesh processing software. This new release focuses on automatic breakline extraction from point clouds.

VRMesh provides an industry-leading solution for point cloud classification and feature extraction. It can extract building footprints, powerlines, poles, tree crowns, and curbs from point clouds automatically. One of the new features included in this release, inspired by customers’ feedbacks, allows you to trace breaklines directly among different point cloud classes with one click only. As an improvement, curb detection is also redesigned to extract curb breaklines instead of curb centerlines from point clouds.

VRMesh has been the best tool for converting point clouds to accurate meshes. With accurate meshes as a foundation, automatic breakline extraction from meshes, avaliable since the previous version, has also been VRMesh’s leading feature.  In this new release, you can extract breaklines either from surfaces as before or directly from point clouds. These functionalities of extracting breaklines provided by VRMesh will make engineers’ jobs easier and maximize productivity at work.

This release also includes a new feature which enables you to calculate the property value (Intensity/Slope/Elevation/Curvature) for individual points and reclassify these points. The functions of extracting powerlines, poles and trees are enhanced from previous versions as well.

VRMesh provides a comprehensive streamlined workflow from classification to feature extraction. With these cutting-edge technologies, VRMesh serves a wide range of industries including, but not limited to, construction, architecture, land surveying, mining, energy, and manufacturing.

About VirtualGrid
VirtualGrid developed VRMesh, an advanced point cloud and mesh processing software tool. VRMesh provides a streamlined workflow for the AEC industry that covers point cloud classification, feature extraction and point cloud meshing. Please visit www.vrmesh.com for more information.