Download Pix4Dmapper 3.3.29 Perpetual License Full (with crack)
FEATURES:
-Process images taken at any angle and from any aerial manned or unmanned platform as well as fromthe ground
-Use images acquired by any camera, from small to large frames, from consumer-grade to highly specialized cameras
-Process images using known rig relatives from multiple synchronized cameras, customized or from known manufacturers for more robust, accurate and faster processing
-Optimize camera exterior orientation parameters starting from GPS and IMU input parameters
-Import a point cloud from different sources, such as LiDAR, and use it to create a DSM and orthomosaic
-Optimize internal camera parameters, such as focal length, principal point of autocollimation and lens distortions, without the need of a lab calibration report
-Process automatically with or without known camera exterior orientations: (x, y, z, w, f, k)
-Produce a dense and detailed 3D point cloud, which can be used as a basis for DSM and 3D mesh
-Remove above-ground objects from DSM and create a bare-Earth model. For additional control, select and delete points manually in the rayCloud to improve DTM/DEM generation
-Compensate automatically for change of brightness, luminosity and color balancing of images
-Combine multiple projects into one or split large projects into several for more efficient processing
-Import (.shp) or draw specific areas to faster generate results inside specific boundaries
-Give the number of features to find, getting more features in low-texture images to assist the reconstruction or less features for large-frame images to speed up processing
-View 3D point cloud and mesh in standard, trackball, or first person viewing modes
-Accurately scale projects with no or imprecise geolocation by defining one/multiple distances
-Annotate and edit 2D and 3D ground control points (GCPs), check points and manual tie points with the highest accuracy, using both original images and 3D information at the same time
-Carve: Remove points from 3D point cloud and create filters based on image content.
-Mask: Clear the unwanted background in orthoplane results.
-Annotate and create surfaces in the point cloud to flatten an area, or to fill up holes in the mesh and DSM caused by insufficient image content.
AND MUCH MORE!
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