Computer Vision ECE 5554 Course contents and other cool stuff I tried.
Course Taught by Prof. Dr. Jia Bin Huang
Hybrid Images - Create a hybrid image using a low pass and a band pass filtered image overlaid on top of each other. It creates an illusion wherein one image is seen from distance and as you see it from a closer view point, the other image is seen.
Gaussian and Laplacian Pyramids - Generated multilevel gaussian and laplacian pyramids.
Edge Detection - Canny edge detection. Also performed edge detection using multiple oriented filters which improved the accuracy of the edges.
Kanade Lucas Tomasi Tracker - Performed feature selection and tracked those features over 50 frames using the KLT tracker.
Shape Alignment - Used a global affine transform to perform shape alignment on set of images.
SIFT Feature Matching - Used a set of SIFT features to track a particular object in another image.
Fundamental Matrix - Used Epipolar Geometry constraints along with feature matching to detect epipolar lines.
Structure from Motion - Using tracked features, generated structure from a set of images in motion. generated the camera rotation and translation path.
SLIC Super-Pixels - Image segmentation using SLIC superpixels and evaluatiion of the Berkley Segmentation Database.
GraphCut Segmentation - Segmentation of images using Graph Cut in MATLAB.