Lab exercises of computer vision course in NTUA

Lab 1: Interest Point Detection and Feature Extraction in Images.

Edge Detection in grayscale images.

Interest Point Detection
Image Matching and Classification using local descriptors and interest point detectors.

Lab 2: Optical Flow Estimation and Feature Extraction in Videos.

Face Tracking using Lucas-Kanade method (left) and Gaussian pyramids method (right).
Space-Time Interest Points detection and Feature Extraction of videos with human actions.

Interest points using Harris Detector

Interest points using Gabor Detector

Dendrogram that points out the ability to classify 3 actions (running, walking and boxing) using Gabor detector and HOG/HOF descriptor

Team:

Antoniadis Panagiotis
Bazotis Nikolaos (https://github.com/Nick-Buzz)