3D reconstruction from multiple 2D images

The current structure from motion (SFM) module from openCV's extra modules only runs on Linux.

As such, I used docker on my Mac to reconstruct the 3D points.
Current docker environment uses Ceres Solver 1.14.0 and OpenCV 3.4.1

Docker Dev Environment

# Build the docker image
docker build -t opencv-sfm .
# Run the docker container mounting `reconstruction` folder to `/app`
docker run -it -v <path_to_reconstruction_folder>:/app opencv-sfm /bin/bash

Run

1. Download 2D temple images from http://vision.middlebury.edu/mview/data

2. Save list of images to images.txt:

# images.txt will contain lines of filepath
# /app/temple/temple0302.png
ls temple/*.png > images.txt
sed -i -e 's/^/\/app\//' images.txt

3. In the docker container, compile the cpp file

g++ example_sfm.cpp  -L/usr/local/lib/  -lopencv_core -lopencv_sfm

4. Run the example with the list of images

./a.out # Prints the help text
./a.out images.txt 350 240 360

Test

# Test eigen (http://eigen.tuxfamily.org/dox/GettingStarted.html)
g++ -I /usr/local/Cellar/eigen/3.3.4/include/eigen3 eigen_test.cpp -o eigen
./eigen


# Test with full includes
g++ example_sfm.cpp -I /usr/include/eigen3/ -I/usr/local/include/opencv -I/usr/local/include/opencv2 -L /usr/local/share/OpenCV/3rdparty/lib/ -L/usr/local/lib/ -L /usr/include/eigen3/ -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_optflow -lopencv_sfm -lopencv_viz

License

MIT