Meshroom
Introduction
Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision Photogrammetric Computer Vision framework. It allows you to run the whole photogrammetric pipeline from images to a textured mesh.
Official Website: https://alicevision.org/
Official Site
Visit the official AliceVision website for Meshroom documentation and downloads.
Main Content Section
Content to be added.
Documentation for Methodology
To ensure your work aligns with the Berkeley Protocol and the Guide for Judges, use the following points to document your use of Meshroom.
Methodology: How to document Meshroom
In Your Method Section
Guidance: Describe the purpose, the tool version, and the input data.
- Investigative Objective: To reconstruct a textured 3D mesh from a series of 2D photographs using the AliceVision pipeline.
- Software Version: Meshroom [Version] (e.g., 2023.3.0).
- Input Data: Derived from [Image Set Name] (Source Hash: [First 6 digits]).
In Your Decision Log
Guidance: Record the specific procedural parameters and integrity checks.
- Specific Settings: Feature Descriptor (SIFT/AKAZE), Dense Matching Estimator (Census/SGM), Meshing parameters.
- Assumptions: Assumed the scene was static and contained sufficient texture for feature matching.
- Integrity Check: Verified that analysis was performed on a working copy, not the original evidence file.
- Date Performed: [YYYY-MM-DD].
Verification & Mitigation
Guidance: How did you mitigate bias or verify accuracy?
- Verification: Visually inspected the mesh for noise and holes; compared scale with known reference objects.
- Bias Mitigation: Used default robust settings initially to establish a baseline before tweaking parameters for specific areas.
Common Limitations
- High computational cost and long processing times for large datasets.
- Sensitive to changes in lighting and moving objects (e.g., trees in wind).
Example Methodology Statement
"To reconstruct the incident site, Meshroom (v2023.3.0) was used to process [Number] images [Hash: J1K2L3]. The default AliceVision pipeline was used with SIFT feature extraction. The resulting mesh was scaled using a reference object of [X] meters, with a visual verification of geometry against site photos."