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Machine Vision Course

These are the exercises for an old-school Machine Vision course (held at TU Wien), which includes the ground-up implementations of some common machine vision algorithms. Coding these algorithms can help to aid your understanding of the fundamentals of machine vision.

  • Exercise 1: Canny Edge Detection
  • Exercise 2: Harris Corner Detector & Interest Points
  • Exercise 3: Object Detection with SIFT and GHT
  • Exercise 4: Plane fitting with RANSAC
  • Exercise 5: Clustering
  • Exercise 6: 3D Object Recognition

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