mve
Blender-Addon-Photogrammetry-Importer
| mve | Blender-Addon-Photogrammetry-Importer | |
|---|---|---|
| 1 | 2 | |
| 963 | 855 | |
| - | - | |
| 10.0 | 8.3 | |
| about 2 years ago | about 2 months ago | |
| C++ | Python | |
| GNU General Public License v3.0 or later | MIT License |
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mve
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Import many photogrammetry software's scenes into Blender
MVE (Workspaces) 1
Blender-Addon-Photogrammetry-Importer
- Import many photogrammetry software's scenes into Blender
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How can I add multiple reference images with varying perspectives to model off of? (Best described as manual photogrammetry, details and exampels below)
However, traditional methods (Like these photogrammetry addons: https://github.com/SBCV/Blender-Addon-Photogrammetry-Importer, https://www.blendermarket.com/products/pcv ) haven’t worked, due to the reference images these being varying quality screenshots, rather than actual uniform photos. I had the idea of somehow using photogrammetry software to align these images (Creating a point cloud), and importing the aligned files into Blender, but that hasn’t been successful.
What are some alternatives?
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
fSpy-Blender - Official fSpy importer for Blender
Open3D - Open3D: A Modern Library for 3D Data Processing
Meshroom - 3D Reconstruction Software
PCL - Point Cloud Library (PCL)
ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
commotion - Blender add-on for motion graphics
OpenSfM - Open source Structure-from-Motion pipeline
blender-xray - STALKER (aka xray-engine) import/export plugin for Blender 3D
flight_planner - QGIS plugin for planning photogrammetric flights. Output: projection center layer (with attribute table containing parameters of Exterior Orientation) and size of images at average height of the terrain. With flight assessment tools you can get: real coverage of photos, logical sum of overlapping photos, GSD map.