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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: