wzuniga / deltillecameracalibration

Deltille Camera Calibration

Camera calibration using Deltille Pattern

Guide to Run

Compile

g++ deltille_main.cpp -o CameraCalibration -O3 `pkg-config opencv --cflags --libs` && ./CameraCalibration

Execute

./CameraCalibration

Prerequisites

sudo apt-get install libopencv-dev

Results

This is the initial interface of the project, it shows the camera and the window for the correct distribution of the pattern in it.

After having obtained the inficado frames, we proceed to the calibration with the Ankur method, iteratively refining the points to obtain a better calibration, having a final RMS of 0.163, in our experiments this is the number reached.

In the Fronto Parallel window, an initial pattern is initially displayed in which it is displayed if the pattern was found in a frame or not.

In fronto Parallel of the initial state you can see if the pattern and the order of it are correctly followed.

This is the initial distribution window, it will go through different divisions to ensure that it is distributed correctly.

In the final distribution we can see how the pattern has moved through the image, in the circles they are the places where the frames are better defined.

Video

https://www.youtube.com/watch?v=QixfwxfU85Q&feature=youtu.be