PIX4Dmatic
Stable version
1.43.2 – April 6, 2023
- Added the Merge projects feature at the calibration level, for accurately geolocated projects
- Removed the logic of setting the Internals confidence parameter automatically to High in the Calibrate step when the camera is in the camera database
- Fixed various crashes
- Improvements in the Intersection Tie Points (ITPs)
- Improvements in the polygons
- Fixed Share to PIX4Dcloud for projects with site calibration
- Improved exports for the orthomosaic as .jpg and the mesh as .slpk
- Improved the object occlusion slider
- Various improvements
- Added Mesh export as point cloud for Revit users
- The stable release also includes all features and bug fixes since the previous stable PIX4Dmatic version 1.39.0
Preview new release
1.46.0 – May 23, 2023
Documentation and support are not available.
- Public release of Open Photogrammetry Format (OPF) 1.0
- Added image Coordinate Reference System (CRS) picker
- Added GCG2016 geoid model (Germany) and SLO_VRP2016/Koper geoid model (Slovenia)
- Added SSO support for subscribed companies
- Available in Portuguese language
- Added support for camera models:
- WINGTRA RGB61_FE24mmF2.8G_24.0_9504x6336
- DJI M3M_4.3_2592x1944
- Legacy internals JSON camera database (derived from the PIX4DMapper database) to retrieve internals for generic models
Recommended hardware specifications
Operating system
- Windows 10 (64 Bit) or above
- macOS Big Sur (11) or above
CPU & RAM
- Hexa-core Intel i7/ i9/ Xeon, AMD Threadripper
- 64GB RAM (or more)
Hard disk
- Solid state drive (SSD)
GPU
- GeForce GTX 10 series, RTX series
Joint LiDAR and photogrammetry workflow for 3D bridge model
Using specialized handheld hardware for site scanning with RTK accuracy helped capture, process, and vectorize a historic stone bridge.
Example datasets
If you don't have images yet, we have you covered. Download our example datasets and discover the power of PIX4Dmatic.
- Option 1: industrial zone and agriculture area
- Option 2: urban area
- Option 3: PIX4Dcatch project
What is new?
Whether you are complementing aerial drone mapping data with terrestrial PIX4Dcatch and viDoc datasets, or documenting a project’s evolution or even reconstructing a collision scene in 3D, you can combine multiple datasets within one master project.