Pix4D has released version 3.2 of Pix4Dmapper Desktop. The new version features upgrades in stability and usability. Uploading desktop projects to the cloud is now 10 times faster. Camera parameter correlations are displayed in the quality report for easier troubleshooting and assessment. Also, new key output: tiled level-of-detail mesh is available in osgb and Esri formats and the software is now available in Russian language.

When geospatial data is generated from different sources, the content and formats may vary from one to another. Integration of those heterogeneous data can ensure the best quality and up-to-date data are available without having people doing repetitive work on what has already existed. Such integration relies on shared standards and Web platforms.   

With the popularization of internet connection, people can now visualize maps and terrain models anywhere without going onsite to map it by themselves. “How would you share hundreds of city models with your clients without overloading the computer resources or sacrificing the fine details? Generating the Level-of-Detail (LoD) mesh is probably your best choice,” Pix4D says.

Similar to tiled maps or vectors, LoD mesh is stored in multiple hierarchies. This allows loading the mesh geometry and texture only within the visible extent and at different level of details based on zoom scales. Without this technique, users can load the entire file before taking any actions.

In Pix4Dmapper, users can define the number of levels they want their 3D mesh to be stored, as well as the resolution of their tiled mesh. Users can choose to output as .osgb — a standard format for open-source programming interface — or to generate .slpk files supported by ArcGIS products made by Esri.  

About Pix4D

Pix4D specializes in professional drone mapping and photogrammetric software solutions. Based in Switzerland, with offices in Shanghai and San Francisco, the company’s end-to-end solutions empower individuals to instantly capture their own 3D maps of changing environments. Images taken by hand, by drone, or by plane are automatically converted into georeferenced 2D mosaics, 3D surface models and point clouds.