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COMP425 Homeworks

Overview

  • Subject: COMP425/COMP6341 Computer Vision.
  • Session: Winter 2024.
  • Institution: Université Concordia.

Key Topics

  • 2D Image Filtering.
  • Edge and Corner Detection: corner response calculation, thresholding, and non-maximum suppression.
  • Image Subsampling: Naive and anti-aliasing downsampling techniques.
  • Hough Transform.
  • Homography and RANSAC.
  • Filter banks.
  • K-Means Clustering for feature extraction.
  • Bag-of-Words Representation.

Repository Contents

  • HW1: Implementation of a 2D filtering, edge and corner detection and image sumsampling functions for images.

  • HW2: First, implementation of Hough transform to find straight lanes in a road. Secondly, creating a pipeline for estimating the homography, and using the estimated homography in an AR (augmented reality) application.

  • Visual Recognition System: Implementation of a simple texture recognition system using the bag-of-words (BoW) approach.

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