Pix4D PIX4Dmatic Software Support and Upgrade, 1 Year Extension, Before Expiry, Download

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

Pix4dmatic is changing the face of surveying and mapping

Investigating crashes 4 times faster with vidoc & pix4dmatic
Using drones and the vidoc, one professional is reconstructing accidents in 3d with sub-centimeter accuracy. This is how it works.

Pix4dmatic & pix4dsurvey 1.54.1: video flythroughs and more!
Pix4dmatic & pix4dsurvey 1.54.1 introduce videos & views, the object selection tool, detailed quality report, and much more.

Meet opf - the pdf of photogrammetry
Pix4d is launching a brand new standard for the exchange of photogrammetry projects called opf. Discover what it is and how it works!

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.)