Lightfielder
Multi-view workflow automation for volumetric post-production
What does this software do?
Lightfielder (aka "LF") is an LGPL-licensed open-source hybrid computer-vision IDE and digital content creation (DCC) toolset developed by Andrew Hazelden. Designed to unify volumetric video content creation and XR post-production. The current Lightfielder public beta release cycle is aimed at a professional audience that is already working in the 3D graphics and immersive media sector.
The goal with Lightfielder v26 is to gather feedback from the community so we can help shape the future of accessible, high-performance, open-source multi-view pipelines. This is part of the process of taking Lightfielder from its status as an in-house tool created between 2022-2026, and spinning it out for wider public access. This will involve further refinement of the user interface and adding more flexible camera rig design support via "user defined" Python plug-ins that can be dropped into the pipeline.
Toolbar scripts
LF Stand & Deliver
Workflow Guides
Lightfield Example Projects
LF for Resolve
Am I Lightfielder?
You might be. Are you a tech artist, photographer, or filmmaker working with multi-view content in the plenoptic imaging domain? Do you frequently capture or process lightfield data? If YES, then you can easily use the colloquial term "Lightfielder" to describe your craft.
What is a Lightfield Capture of a Scene?
Lightfield recordings of a real-world or virtual scene provide a unique experience compared to traditional legacy VR/XR media types (like 360VR, 180VR, Fulldome, 3DTV, or Spatial Media).
When digitized, a lightfield based 3D scene-graph stores the captured content using a data structure that holds the individual samples of light rays. Each ray has a unique light intensity property and a light ray direction property that indicates the angle that the light beam is travelling along.
This allows the observer of a lightfield scene asset to experience free-view motion (aka 6DoF navigation) when viewing the digital environment. The observer is able to interactively re-adjust the synthetic camera properties such as aperture, exposure, colour temperature, and shutter angle to sculpt the final cinematic result. A lightfield photography/filmmaking approach can be used to display a still representation of a scene (freezing a single moment in time), or a full motion version of the scene which supports narrative storytelling goals.