Sr. is a Structure from motion software:
The software provide 3D Reconstruction and Camera Tracking.

The images were cropped to reduce computation time

• CMake for easier building
• OpenCV compile with contrib modules (Apache 2 License)
• Ceres Solver (BSD license)
• Point Cloud Library (PCL) (BSD license)
• CGAL (Open Source license)

• Start X Server on your machine
• Deploy with docker compose

docker-compose run sr

• Download the source code into some root folder "SomePath/Sr"
• Create a build folder within the Sr directory: SomePath/Sr/Build
• Set "YOUR OWN" Build DIR dependency in CMakeList.txt
• Run CMake configure within SomePath/Sr/Build as Build directory and SomePath/Sr as source directory
• Run generate
• Open visual studio solotion in SomePath/Sr/Build/Sr_Project.sln and compile

Usage: ./project.exe [-h] [-v] [-s] [-d down_scale] [-c calib_directory] [-f focal_length] input_directory

Options:
      -h                  Print help message
      -v                  Show match
      -s                  Sort input images
      -d down_scale       Downscale factor for input images (decimal)
      -f focal_length     Camera focal length (decimal)
      -c calib_directory  Directory to find chess board images for camera calibration
      input_directory     Directory to find input images and calib.xml(optinal)

The pipline gets as input images of an object and intrinsic camera parameters, the pipeline creates colored point cloud and turns it into textured mesh.

Sr. gets an input directory containing images of an object from multiple views
first option - using calib.xml:
second option using - focal length:
Note that intrinsic camera parameters must be named calib.xml!
and be in the format:

<?xml version="1.0"?>
<opencv_storage>
<cameraMatrix type_id="opencv-matrix">
  <rows>3</rows>
  <cols>3</cols>
  <dt>d</dt>
  <data>fx 0 cx 0 fy cy 0 0 1</data></cameraMatrix>
<distortionCoefficients type_id="opencv-matrix">
  <rows>1</rows>
  <cols>5</cols>
  <dt>d</dt>
  <data>k1 k2 p1 p2 k3</data></distortionCoefficients>
</opencv_storage>

where:
fx, fy are the focal length on the axis
(cx, cy) is the principal point
k1, k2, p1, p2 and k3 are the distortion coefficients

Sr. will create new folder in the input drictory named output, in this folder the software will crate several files:

• PointCloud.ply - Colored pointcloud of the object
• occluded.jpg - This images is used to texture occluded part in the mesh
• TexturMesh.mtl - File containing information about the textuers matrials
• TexturMesh.obj - Textuerd mesh of the object