PFTrack for Games
Real-World Capture for Game Worlds
Create photorealistic environments, props, and assets from real-world photographs and video. PFTrack’s node-based photogrammetry handles everything from single-object scanning to large-scale environment capture, with automated batch processing and game-engine-ready export.
Key Capabilities for Game Developers
Photogrammetry from photographs and video
Detailed 3D meshes with textures from real-world captures.
Node-based batch processing
Automated asset pipelines processing large volumes through consistent, repeatable workflows.
Game-engine-ready export
USD, glTF, FBX, OBJ with mesh optimisation for real-time rendering.
Camera tracking for cinematics
Precise camera data for in-engine cutscene production.
Python scripting and CLI
Automate photogrammetry jobs, integrate with asset management systems.
Cross-platform
Run on macOS, Windows, or Linux to match your existing infrastructure.
Games Use Cases
Environment capture
Photograph real-world locations and reconstruct them as 3D environments, dense, textured meshes for game world construction.
Prop and object scanning
Capture objects from turntable photography. Clean geometry and UV-mapped textures ready for Unreal Engine, Unity, or other engines.
Terrain and landscape
Process drone footage into high-resolution terrain data, combined with LiDAR-aided camera solving via the Survey Solver.
Cinematic camera tracking
Feature-film-grade matchmoving for live-action cutscenes with seamless CG integration.
Hero Cloud
Capture scenes from production footage.
Hero Cloud generates measured scene data from existing video, including drone footage and location passes that didn’t plan for full photogrammetry. Export to Postshot for Gaussian splat training — PFTrack now sits naturally at the front of splat-based real-time rendering pipelines. Combined with PFTrack’s multi-image photogrammetry pipeline in Studio and Enterprise, the workflow scales from quick single-shot reference to full asset capture pipelines. Export to USD, glTF, and FBX for direct integration into Unreal, Unity, and proprietary engines.
Why PFTrack for Games
Node-based workflow
Node-based automation scales from dozens to thousands of scanned assets with standardised pipelines.
Tracking and photogrammetry
Combined tracking and photogrammetry in a single application, unique for cinematic and asset workflows.
Enterprise deployment
Perpetual licensing on Solo with lifetime software updates, no ongoing subscription for indie studios.
FAQ
Game developers use PFTrack as a real-world capture solution to reconstruct high-fidelity environments, props, and terrain models from digital photographs and video plates. By analyzing pixel continuity and spatial geometry across multi-angle or turntable photography, the software generates highly detailed, dense 3D meshes complete with UV-mapped textures.
This unified pipeline enables art teams to rapidly digitize physical objects and environments into digital assets optimized directly for real-time engines like Unreal Engine and Unity.
PFTrack supports a versatile matrix of industry-standard 3D file formats to ensure seamless interoperability with modern game engines and asset registries. Developers can export native, textured geometry using the following pipelines:
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Real-Time Format Interchange: Natively exports to USD, glTF, FBX, and OBJ.
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Mesh Optimization: Features integrated geometry compression and polygon optimization tools to ensure reconstructed 3D meshes conform to strict real-time frame rate budgets and hardware rendering constraints before ingestion into the engine.
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The Hero Cloud node allows game developers to retrospectively reconstruct measured 3D point clouds directly from existing, single-camera video footage (such as reference video, location scouting plates, or archived footage) without requiring physical LiDAR scanning hardware on-site.
For game development workflows, this eliminates production bottlenecks when asset capture teams cannot physically access a location:
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Retrospective Environment Modeling: Generates highly accurate spatial data from pre-recorded video, turning flat plates into 3D world-building templates.
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Frictionless Engine Ingestion: Exports point clouds natively into Unreal Engine or USD-based asset pipelines as geometric reference guides for 3D environment artists.
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Next-Gen Asset Workflows: Connects directly with the Postshot export pipeline, allowing developers to feed the extracted tracking data straight into machine-learning-driven 3D Gaussian Splatting setups to train highly photorealistic, real-time digital assets.
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PFTrack provides feature-film-grade matchmoving capabilities to bridge live-action cinematography with real-time in-engine cinematics. For game productions utilizing live actors, practical sets, or mixed-reality plates, the software's advanced camera solver computes sub-pixel accurate camera motion paths.
Because PFTrack uniquely unifies camera tracking and photogrammetry in a single application, cinematic artists can simultaneously solve complex camera moves and align them to the structural 3D environments (utilizing the Survey Solver for LiDAR-fused data), ensuring flawless CG element integration in cutscene production.
PFTrack offers a highly scalable licensing structure tailored to match the financial models and IT deployment needs of indie creators up to global AAA studios:
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PFTrack Studio: Suited for collaborative teams, utilizing a cloud-managed floating license dashboard to dynamically distribute active seats across remote or local development machines (requires an active internet connection).
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PFTrack Enterprise: Built for major multi-site studios requiring absolute data privacy. It features a localized PFBucket license server to distribute floating entitlements completely offline over secure, air-gapped internal studio networks.
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