Weekly projects of the Computer Vision course, ETH Zürich (Fall 2020).

Projects graded with full marks.

The projects cover the fundamental problems and techniques used to solve traditional computer vision tasks. The topics encountered are the following:

• Camera Calibration
• Harris Corner Detector and Features Extraction/Matching
• Particle Filter and Monte Carlo Localization
• Model Fitting and Multiple View Geometry
• Image Segmentation
• Stereo Matching
• Structure from Motion
• Shape Context and Shape Matching
• Condensation Tracker
• Image Categorization

Condensation tracker example:

Image segmentation example:

Feature extraction and matching example:

Epipolar geometry (model fitting) example:

Stereo matching & Structure from Motion example: