computer-vision-02504

Exercises from DTU course 02504: Computer Vision

Lectures:

Lecture 1: Pinhole camera and Homogeneous Coordinats
Lecture 2: Camera Model and Homography
Lecture 3: Stereo View Geometry -- Epipolar Geometry, Triangulation
Lecture 4: Camera Calibration
Lecture 5: Nonlinear Optimization and -- Camera Calibration and Triangulation
Lecture 6: Simple Features -- Gaussians, Harris Corner, Canny Edge Detectin
Lecture 7: Robust Model Fitting -- Hough Transform, RANSAC
Lecture 8: BLOBs and SIFT features
Lecture 9: Geometry Constrained Feature Matching
Lecture 10: Image Sticthing, Finding Inliers, Transforming images, Multiple images, Nodal point

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
assets		assets
README.md		README.md
ex1.ipynb		ex1.ipynb
ex2.ipynb		ex2.ipynb
ex3.ipynb		ex3.ipynb
ex7.ipynb		ex7.ipynb
ex8.ipynb		ex8.ipynb
ex9.ipynb		ex9.ipynb
utils.py		utils.py