Blender for Visual Investigation
Reconstructing Reality​
Welcome to the Blender for Visual Investigation Knowledge Base. Whether you're opening Blender for the first time or bringing years of 3D experience into evidentiary work, this resource is built for one shared purpose: establishing truth in a verifiable, accurate, and reproducible manner.
The Beauty of 3D​
Spatial reconstruction is uniquely effective because it aligns with how humans naturally process the world. We are built to read three-dimensional environments, distances, sightlines, and spatial relationships. When you look at a photograph, you are mentally reconstructing depth from a flat image; when you read a witness statement, you are building a mental model of that space.
A well-documented 3D reconstruction turns abstract data and 2D frames into a tangible mental translation. It lets investigators and audiences literally look at evidence from different angles—not as a metaphor, but as a methodological tool. Sightlines that seem plausible in text can turn out to be impossible in 3D, and events that seem to contradict each other can be tested spatially and temporally.
Quickstart​
There are a couple of ways to navigate this knowledge base. The most obvious is via the sidebar menu. The structure takes a linear approach, starting with foundational concepts and working through the first four categories: Introduction, 3D, Modeling, and Data. These sections provide the general context for the field. Under the 'Blender' header, you will find everything needed to get started with the software. With that basic knowledge established, you can move on to Tools, Add-ons, and Techniques. Finally, workflow patterns bring everything together into specific pipelines applied to real-world use cases.
In the top navigation bar, you will find a search box alongside a button that opens the knowledge graph. The graph provides an overview of connected pages and concepts. Click on any node to highlight it and its related pages, offering a more holistic way to explore the material.
If you already have a specific case in mind, start from the workflow that matches your source material:
If you're interested in 3D reconstruction from matched cameras and already know Blender, try this path:
- Start with the core concepts: Camera and Perspective
- Read the tool overview: fSpy
- Browse the Add-on Database and filter for camera matching to find tools like:
- Study the matching approach: Camera Matching Strategies
Start with Geometric Reconstruction Workflow. It helps you choose between camera matching, photogrammetry, and hybrid modeling based on your available evidence.
The Investigative Workflow​
Blender is the tool; spatial analysis is the goal. This knowledge base focuses on the methodology required to turn raw evidence into a defensible spatial argument across four distinct but connected stages:
- Building the Truth: Creating accurate 3D representations of real-world locations and objects through modeling workflows, measurement protocols, reference gathering, and quality control.
- Finding the Truth: Analyzing events within that space, testing witness accounts, establishing camera positions, simulating sightlines, and calculating distances.
- Visualizing the Truth: Transforming textual and statistical data into visual information, from precise geospatial mapping to procedural 3D topological surfaces.
- Communicating the Argument: Producing the final deliverables—still renders, annotated diagrams, animated sequences, or interactive files—that convey your findings to your specific audience.
This workflow applies regardless of your end goal, but the required standard of proof shifts:
- Court testimony = "beyond reasonable doubt"
- Investigative journalism = "editorially defensible"
- OSINT analysis = "community-verifiable"
- Academic research = "peer-reviewable"
Creative and Evolving​
Visual investigation is creative work in the service of truth. As new tools and technologies emerge, the opportunities for spatial analysis multiply. Mastering this field requires not just technical Blender skills, but the intuition to combine new techniques accurately, warn against problematic approaches, and innovate within methodological boundaries.
This resource will show you techniques that have proven to work and encourage you to combine them creatively. The main goal is not only to help you master Blender, but to make you effective at spatial investigation—equipping you to build arguments that are visually clear, methodologically sound, and evidentially defensible.
Living Resource​
This knowledge base is a living document. Just as investigative techniques evolve, so will these pages. I will be continuously adding and refining content, updating workflows, and restructuring information to ensure your processes remain as efficient as possible.
Feedback​
Accuracy is a collective effort. I am open to corrections, suggestions, and new ideas. If you spot an error, have a question, or simply want to share a technique or idea, please reach out. Collaboration helps sharpen the tools for everyone.
Let's get started!