3D reconstruction, sfm with Python3
3D reconstruction from 2D images pipeline
Steps:
Note: Steps and code in this repo is my hobby / learning exercise. Ie, its probably not very efficient. If you wish to use a more production-ready library, check out OpenCV's SFM module. I have a docker environment for it at: https://github.com/alyssaq/reconstruction
$ python3 cube_reconstruction.py
Download images from https://www.robots.ox.ac.uk/~vgg/data/mview/ and place into imgs/dinos
$ python3 example.py
Detected points and matched across 2 images.
3D reconstructed dino with essential matrix
$ python3 camera.py
3D points of model house from Oxford University VGG datasets.
Projected points