Academic Staff
Faculty in charge:
Teaching assistants:
Demo Name to be deleted
- Introduction
- Cameras and color: pinhole camera, perspective model, orthographic projection model, aperture, field of view, lenses, filters, color formation, color spaces.
- Spatial filters: convolution, average filter, gauss filter, median filter.
- Morphological filters: Erosion, dilation, opening, closing.
- Edge detection: edge definition, gradient, noise, Sobel filters, Prewitt filters, Roberts filter, noise attenuation, Laplacian of Gaussian, Canny algorithm.
- Corner detection, Harris corner detector.
- Blobs, SIFT features.
- Model fitting, least squares, RANSAC. Hough transformation for lines, circles, general objects.
- Transormations and alignment. Homography transformation, Affine transformation.
- Pinhole camera model, camera calibration.
- Essential and fundamental matrix.
- Stereo vision.

