Seattle, WA – VirtualGrid announced today the release of VRMesh v11.2, the latest version of its powerful point cloud and mesh processing software. This release presents a new method of point cloud meshing that enables users to convert point clouds to a two-sided mesh for visualizing intricate environments such as construction sites.
As a technology pioneer in the field of point cloud meshing, VRMesh has been famous for creating an accurate mesh to represent original objects with high details. Today, VRMesh is pleased to present a new functionality that creates a two-sided mesh surrounding point clouds, which works well on thin shapes, such as tree leaves, and poor scans. This functionality is suitable for visualizing large-volume scans. Overall, the point cloud to mesh function in VRMesh has become more powerful as it not only can produce an accurate mesh in great detail but also can create a two-sided mesh for visualization and measurement. Furthermore, VRMesh v11.2 supports 3DConnexion SpaceMouse.
This release also includes multiple new marking tools that allow users to label the regions they want for creating visual deliverables and to extract break lines with slope analysis.
Today, the cutting-edge technology of VRMesh is especially well known in the geospatial and reverse engineering industries. It provides a streamlined workflow and the most comprehensive toolset in the market to make engineers’ jobs easier and to maximize productivity at work. VRMesh customers span across various industries such as land surveying, construction, mining, architecture, manufacturing, entertainment, medical/dental, etc.
For a live demonstration, please stop by Booth 414 at International LiDAR Mapping Forum (ILMF) 2020 in Washington, DC. from March 23 – 25. We are pleased to show you our innovative technologies.
About VirtualGrid
Founded in 2003, 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.
