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Review Summary
Download
Perpetual License
Quad-core or hexa-core Intel i5
Any NVIDIA GPU that supports OpenGL 4.1 or higher
150 GB Free Space (2000-5000 images at 20MP)
350 GB Free Space (5000-10000 images at 20MP)
Windows 10, 11 (64 bit) or macOS Sonoma (14.x) + Ventura (13.x)
32GB (2000-5000 images at 20MP
64GB (5000-10000 images at 20MP)
Next generation photogrammetry software for professional drone and terrestrial mapping
Are you ready to go big?
The optimized software for the next surveying and mapping challenges
Bigger datasets, accurate results
Pix4dmatic processes thousands of images while maintaining survey-grade accuracy, halving the processing time, without the trouble of splitting and merging.
Fully automated processing
Developed in close-collaboration with surveyors and mapping professionals to streamline your workflow: import, process and assess the quality of a project in just a few clicks, and move seamlessly from pix4dmatic to pix4dsurvey.
Terrestrial workflow
Leverage the benefits of both photogrammetry and lidar technology. Process lidar and rgb image outputs from pix4dcatch for a full terrestrial workflow. Easy and desktop-based.
Accurate 3d maps and models from thousands of images
Fast processing
Handling and processing large amounts of data is easy with pix4dmatic. Get your results up to 50% faster, while keeping a survey-grade accuracy.
Easy accuracy checks
Ensure the accuracy of your project with gcps, checkpoints, or manual tie points. Accuracy metrics are available in a dedicated tie points table and in an exportable quality report.
Vertical coordinate systems and geoid support
Pix4dmatic supports the most frequently used vertical coordinate systems and their corresponding geoids.
Import from pix4dcatch
Process both lidar and rgb image outputs from pix4dcatch.
Fast development cycles
Updates are released every three weeks in a new preview or stable version, ensuring you get all the latest improvements and features.
Essential outputs, in a fraction of the time without compromising accuracy
Point cloud
Generate a dense point cloud, create a depth point cloud or fuse them according to the needs of your project and create the best reconstruction possible.
Export formats:
.Laz
.Las (1.2 and 1.4)
.Xyz
Orthomosaic
Create orthomosaics that are geometrically corrected such that the scale is uniform. They are color balanced in order to be visually pleasing.
Export formats:
.Tiff (geotiff)
.Jpg (georeferenced with.Jgw)
.Tfw
.Prj
Digital surface model (dsm)
Generate a digital representation of all objects in the mapped area. It includes natural features as well as elevated objects, like buildings.
Export formats:
.Tiff (geotiff)
.Tfw
.Prj
Mesh
Generate a 3d textured mesh by defining the texture size and decimation criteria and view it either in textured or shaded mode.
Export format:
.Obj
.Slpk
cesium 3d tiles
.Laz
Compatible with pix4dsurvey
Seamless export of processed projects into pix4dsurvey to transform point clouds into actionable cad-ready data. Pix4d's proprietary.Bpc file format is optimized for loading and manipulation of big point clouds.
Export format:
.P4m
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Features
Inputs
Aerial and terrestrial images (jpg, jpeg, tif, and tiff)
Process rgb images in the aerial and terrestrial images jpg, jpeg, tif, and tiff that support standard exif/xmp tags
Lidar and rgb images from pix4dcatch
Import and process pix4dcatch data, depth maps (lidar) and rgb images, for a full terrestrial workflow
Point clouds (lidar)
Import external lidar point clouds (las/laz) for mesh, dsm, and orthomosaic generation
Multi-camera support in the same project
Import images from different cameras and process them together in the same project
Image geolocations and orientation (csv and txt)
Import image geolocation and orientation information in csv or txt
Ground control points (gcps) (csv and txt)
Import ground control points and checkpoints to accurately georeference your project
Gcps marks
Import tie point (gcps, mtps, etc.) image marks from a pix4dmapper or another pix4dmatic project gcps marks import tie point (gcps, mtps, etc.) image marks from a pix4dmapper or another pix4dmatic project
Known coordinate reference system (crs)
Select a default coordinate reference system for easy setup, with epsg or esri codes from known coordinate systems libraries
Geoids support
Select a geoid from a list of the most commonly-used geoid models or select a geoid height
Arbitrary coordinate reference system (crs)
Georeference the project with gcps in local or site specific coordinate systems
Site localization (wkt and prj)
Import a site localization file to use a customer coordinate reference system in prj or in wkt generated with pix4dcatch
Region of interest (roi) (kml)
Import or draw a region of interest to delimit an area in order to reduce the extent of outputs generated for a project, speed up the processing, or create sharper outputs
Scale constraint
Add known distances as scale constraints and indicate their accuracy to scale your project
Orientation constraint
Add distances with known axis and direction to orient your project
Open photogrammetry format (opf)
Import a project in the open photogrammetry format (opf)
Edit camera internals and externals parameters
Fine-tune internal and external camera parameters for enhanced control over calibration and project accuracy
Vector files (dxf, shp, zip, shz, geojson, json)
Import vector files in dxf, shp, zipped shp or geojson to view in your project
Processing
Multicore cpu + gpu support
Increase the processing speed by leveraging the power of cpu cores and threads, as well as gpus
Backup mechanism
An automatic backup mechanism ensures that you do not lose your work, even if pix4dmatic unexpectedly stops
Save copy
Save copy allows you to easily create a copy of your project, so that you can continue your work while being sure you have a copy of a previous state
Processing templates
Select the nadir, oblique, pix4dcatch or custom processing template
Calibration
Define the template, pipeline, image scale, keypoints and internals confidence parameters for the optimization of internal camera parameters (e.g. Focal length, principal point of autocollimation, and lens distortions) and external camera parameters (position, orientation) during calibration
Reoptimize
Reoptimize internal and external camera parameters based on gcps, mtps, vtps, or mitps to improve the reconstruction
Auto-mark
Auto-mark will automatically find more marks in images for tie points or geometry vertices, as long as you marked at least 2 images
AutoGCP
Automatic detection of targets with known shape and texture without manual intervention
Intersection tie points (ITPs)
Improve the calibration by generating intersection tie points automatically calculated with the scene's geometries, e.G. For indoor scenes
Merge projects
Merge multiple pix4dmatic projects
Depth point cloud
Create a depth point cloud based on lidar inputs from pix4dcatch
Readjust
Readjust the point cloud after having reoptimized the project. No need to densify again after having reoptimized a project
Image pre-processing
Compute the data required for the object selection and image mask tools
Dense point cloud
Define the point cloud image scale, density, minimum number of matches, noise filter, sky filter , and mask-aware parameters to create a photogrammetry dense point cloud based on the sparse point cloud created during calibration
Depth & dense fusion
Create a single point cloud based on the depth point cloud and the dense point cloud
Point cloud outlier filtering
Automatically detect and remove noise from imported or generated point clouds for cleaner outputs
Mesh
Define the pipeline, template, texture size, deghosting, decimation, polygon-aware, sky mask, smoothing, interior improvement, and mask aware parameters to create a 3d textured mesh with the point cloud
Digital surface model
Define the input, resolution, surface smoothing, interpolation, and mask-aware parameters to create a digital surface model with the point cloud
Orthomosaic
Define the deghosting, oblique, and mask-aware parameters to create an orthomosaic with the digital surface model and the images
Quality report
Assess the calibration and other processing step results with the detailed quality report
Tools
2D and 3D views (rayCloud)
Visually assess the accuracy of the initial and optimized image and tie point (GCPs, MTPs, etc.)