3 ms·
Homographies: Looking through a pinhole
- wcrossbow 3y agoI wrote this because I needed to calculate transformations between two cameras’ point of view and I just couldn’t find something accesible and straightforward. Hopefully somebody finds it useful.
- northzen 3y agoI have the sad feeling that this article is reinventing what is already well described, in unambiguous and accepted terms. Here I see a reinvention of terms, meanings, notations, which will make it harder for those who will use it through third-party libraries or try to understand it more deeply. I tried to find anything available by a simple google search.... and couldn't find it. Therefore, I will get what I had the good fortune to come across also outside the Internet: [1] Lectures on 3D computer vision. Very rich, detailed, mathematically very accurate. The best one I ever saw on the topic [2], [3] OpenCV documentation, including camera model and estimation of its position, mutual position of cameras [4] Some good Standford lectures [1] https://cmp.felk.cvut.cz/cmp/courses/TDV/2022W/lectures/tdv-2022-all.pdf https://cmp.felk.cvut.cz/cmp/courses/TDV/2022W/lectures/tdv-... [2] https://docs.opencv.org/4.x/d7/d53/tutorial_py_pose.html https://docs.opencv.org/4.x/d7/d53/tutorial_py_pose.html [3] https://docs.opencv.org/4.x/d1/de0/tutorial_py_feature_homography.html https://docs.opencv.org/4.x/d1/de0/tutorial_py_feature_homog... [4] https://web.stanford.edu/class/cs231a/course_notes/01-camera-models.pdf https://web.stanford.edu/class/cs231a/course_notes/01-camera...