Unrivaled 3D Tracking brings endless creative possibilities
Tracking professionals throughout the VFX industry regard PFTrack as the most innovative product of its kind. With unparalleled flexibility, functionality, and precision, it is the go-to matchmoving and layout software for a reason: It does what the competition can’t.
Building on a rock-solid camera tracking and image analysis engine, PFTrack adds exclusive technologies that stretch far beyond the capabilities of other conventional matchmoving software, empowering visual artists to recreate entire scenes within an accurate world space defined by real camera metrics.
Every VFX pipeline will benefit from data that only PFTrack can deliver, meaning creative possibilities are limitless, and accessible within a single working environment that inspires imagination.
Key PFTrack Features Include
Class-leading photogrammetry toolset for building accurate geometry, but with that PFTrack Twist.
Multi-camera motion capture, geometry tracking, and object tracking. If it moves independent of the camera, we’ve got it covered.
Accurately recreate the world space, camera, and object movements of the original live-action scene, and rebuild the natural environment where CG characters will exist.
With direct support for raw LIDAR scans and the unique photosurvey node, PFTrack makes quick work of immense survey data packages. Absolute precision doesn’t bring your productivity to a halt.
3D Camera Tracking
Easy to use, accurate, fast and ahead of the curve. PFTrack’s matchmove core gets your job done with class-leading results.
Spherical Tracking Toolset
Your fast track to creating incredible 360° content for VFX, VR, games and more. This toolset comprises of three brand new nodes: Spherical Track, Spherical Orient and Spherical Render.
The Spherical Track Node – A fast, streamlined solution for tracking and solving the full equirectangular image from 360° cameras. The node tracks six cameras at once from the equirectangular panorama, all aligned and contained in the same scene, which is then passed downstream through the node tree, opening up the full potential of PFTrack’s renowned feature set.
The Spherical Orient Node – Stabilise the camera rotation of your spherical track, as well as re-orient your panorama and focus your front view on animatable look-at points.
The Spherical Render Node – Finally render your new equirectangular panorama, which used alongside tracking data from the six cameras, offers VFX artists a fully equipped spherical toolset for 360° content creation at their fingertips.
Double The Technology, Galactic Results
The fusion of PFTrack and PFDepth. Recreate accurate world space and take your VFX pipeline to new dimensions. Now integrated with PFTrack.
Dimensionalization professionals turn to PFDepth for one reason, to work within a true 3D world space using real-world camera models. This seemingly simple concept is what allows PFDepth to create extremely accurate, per-pixel 2D to 3D conversion, depth maps for deep compositing and fix problems with a stereo image pair that may have happened back when the scene was originally shot. The result is total creative control, without the guesswork.
And with a state-of-the-art review environment that checks for comfort violations prior to rendering, PFDepth ensures breathtaking 3D, without the headaches.
Key PFDepth Features Include
2D to 3D Conversion
Automated Z-depth tools that make dimensionalization as easy as x,y,z and a QA toolset that guarantees correct results.
Our renowned camera tracking technologies guarantee absolute precision, even if your camera rig doesn’t.
Deep Compositing technologies ensure PFDepth fits your pipeline where you choose.
Learn PFTrack and PFClean for free.
The PFAcademy teaches you everything you need to know to become proficient in using our software. Learn the fundamentals of our software and continue on to earn manufacturer accredited certifications to carry forward into your chosen career path.
PFTrack just got a whole lot deeper. Create and generate depth maps automatically from realworld camera metrics, save huge amounts of time with some of the industry’s most advanced rotoscoping tools, convert any 2D footage into 3D and benefit from the finest stereo pipeline commercially available. PFDepth is now completely integrated into the PFTrack Tree. Enjoy.
Enhanced UI for enhanced productivity
Store effects trees as presets and use them in other projects or share them with your colleagues. Nodes organized into logical groups. Store the most commonly used nodes in custom folders for quick retrieval. PFTrack just keeps getting better and better.
Automated multi-layer texture extraction
How do you improve the finest embedded photogrammetry tools in the industry? Simple. Add the ability to generate Normal, Displacement, Occlusion and Colour maps simply and quickly. Combined with our recently released Mesh Simplification Tools PFTrack 2017 now packs the ultimate asset building toolset for Games, VR, and VFX.
Expanded support for Digital Cinematography Cameras
Import and debayer Arri RAW directly in the tree. Automatically extract embedded camera metadata from RED and ARRI, and lens metadata from Cooke Optics. All available directly within the PFTrack 2017 tree and python scripting.
The magic RGBD sensor
It’s new, and it’s set to become an industry game changer. Depth sensing cameras are in their infancy, but we wanted to give PFTrack users early access to some experimental R&D. Check out the movie for a glimpse into of the future of VFX and VR asset capture, done the PFWay.
Supported Operating Systems
Microsoft Windows Windows 7, 8 (only 64-bit supported) and Windows 10
Mac Mac® OS X 10.10 or later (only 64-bit supported)
Linux CentOS 6.0 or later (only 64-bit supported)
Minimum Supported Hardware
Intel Core™2 Duo processor or higher
2GB available hard disk space for full content installation
Mouse or pointing device
1920×1080 resolution monitor
1GB dedicated GPU with accelerated graphics (2GB recommended)
OpenCL 1.2 or later / CUDA Compute Capability 3.0 or later †
† OpenCL is used exclusively on OS X. On Windows and Linux, CUDA is used for NVIDIA GPUs, and OpenCL for all other cards.
The following are recommended for optimal processing.
A fast (300MB/s or more) storage device. Required for optimal handling of 2K resolution footage and higher.
A CPU with at least 4 cores is recommended for optimal UI performance.
Increased RAM for data caching. Clips stored in RAM are processed far more quickly.
2GB GPU is required for medium and high resolution depth map creation for photo meshing.
Please note: a direct internet connection is required to install and administer the licenses using the license manager. Otherwise, licenses must be managed manually
Any license can be deployed as Floating or Node-Locked.
What’s new in version 2018?
Standalone application PFManager
Brand new Project Manager
Tracking tree enhancements including mask export
Dual view for multiple clips in User Track
Auto Match node
What’s new in version 2017?
All functionality of PFDepth embedded in PFTrack
All PFDepth nodes are now fully integrated and available in PFTrack
Many more ways to create and manipulate depth maps:
Updated Z-Depth Solver node
Z-Depth Tracker, Merge, Edit, Filter, Composite and Cache nodes
Z-Depth Object node
Rotoscope-based depth editing
Ideal tool to prepare clips for z-based compositing
Extended stereo camera and image pipeline:
Build Stereo Camera node to automatically position the right-eye camera after tracking the left-eye
Stereo Disparity Solver, Disparity Adjust and Disparity-to-Depth conversion nodes
Fix common issues such as stereo keystone alignment and left/right-eye colour and focus mismatches
Render left and right-eye images from a single clip using Z-Depth data
User Interface Updates and Productivity Enhancements
Node creation panel has been updated with nodes organised into groups to make them easier to find
New Custom node group, where commonly used nodes can be placed for quick access
Tree layouts can be saved as XML preset files to help quickly construct common sets of nodes
Tree preset XML files can be copied onto other machines or given to users to share common layouts
Extended Digital Cinematography Camera Support
Added support for reading ARRI RAW media files
Camera and lens metadata is automatically read from RED and ARRI source files
ARRI metadata can also be read from DPX, OpenEXR or Quicktime ProRes files
Added support for importing custom XML metadata to the Clip Input node
All metadata is passed through the tree and can be accessed by python or export nodes
Advanced Photogrammetry Texture Extraction Tools
An optimized texture map can now be created automatically in the Photo Mesh node as part of the simplification process
Exposure and brightness differences in the source media can be automatically corrected to provide the best quality texture map
Exposure balanced images are automatically passed down-stream, and can be used in the Texture Extraction node for manual texture painting if required
Normal, displacement and occlusion maps can also be generated during simplification, to ensure the simplified mesh retains as much visual fidelity as possible
Normal maps support both world and Mikk tangent spaces
Occlusion maps can be generated for either the sky or local surface occlusion
Additional texture maps are exported automatically by the Export node
Experimental RGBD Pipeline for Depth Sensors
Z-Depth data captured by external sensors can be attached to an RGB clip and passed down the tracking tree
Auto Track and User Track nodes updated to read z-depth values for trackers at each frame
Camera Solver node will use tracker z-depth values to help solve for camera motion
Can reduce drift in long shots
Can improve accuracy when tracking complicated camera movements
Provides 3D data for nodal pans
Provides a real-world scale without any additional steps
Z-Depth Mesh node can be used to convert depth maps into a coloured triangular mesh
An iOS application will be released during 2017 allowing depth data to be recorded using an iPad and the Occipital Structure Sensor capture device.
Additional Improvements and Features
Documentation updates and improvements
Added camera presets for ARRI ALEXA and RED cameras
Improved initial keyframe selection algorithm in Camera Solver node
Improved Auto Track feature tracking when using undistorted image plates containing blank edge areas
Custom XML metadata import can be used to define per-frame lens distortion, focal length and camera pose values
Cooke /i Data file import has been moved from the Edit Camera node into the Clip Input node
Added support for importing .PTS and FARO .XYB LIDAR files in the Survey Solver node
Improved pivot-point handling in the Survey Solver node when LIDAR datasets contain stray points far from the scene
Added an XML export python script to store camera data using the same custom XML schema as supported by the Clip Input node
Added depth-test and back-face culling options to the Geometry Track node to help painting vertex weights and deformable groups on complex geometric models
Added a focal length reset button to Camera Solver and Survey Solver nodes that can be used to reset the solved focal length to incoming value if it has been set by another node up stream
Added exposure and image processing controls to the Clip Input node for control of ARRI RAW and OpenEXR decoding
What’s new in version 2016?
Spherical Tracking Toolset
This toolset comprises of three brand new nodes: Spherical Track, Spherical Orient and Spherical Render.
New Photo Mesh Simplification Tools
Adds the option to simplify a mesh model which allows you to pass a mesh downstream for further processing in PFTrack, and export the simplified model as low resolution meshes for game assets and VR environments.
By applying the Photo Mesh simplification tool, a mesh can then be passed directly to the Texture Extraction node in order to generate texture maps. With this added functionality, all the essential steps of your modelling pipeline are now available directly inside of PFTrack.
The Pixel Farm has its own training called PF Academy, where users can learn PFTrack and PFClean for free! With this resource, you'll learn everything you need to know to be proficient with PFTrack and PFClean.
Learn how to use the the new Texture Map Extraction features now available in PFTrack 2017, to create a simplified model that retains the aesthetic of the high resolution original. The Pixel Farm explains the workflows for both MARI and Unity.