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DATA.ML.300-Computer-Vision

Taken in Tampere University during exchange study semester 2 AY23/24

Course Overview:

Image Formation & Filtering:

  • Understanding the basics of image formation and the role of filtering.

Feature Detection & Matching:

  • Exploring techniques for detecting and matching features in images.

Structure-from-Motion & Image-Based 3D Modelling:

  • Delving into methods for reconstructing 3D structures from motion and images.

Motion Estimation & Tracking:

  • Studying algorithms for estimating motion and tracking objects in visual data.

Object Detection & Recognition:

  • Overview of methods employed for detecting and recognizing objects in images.

Feel free to explore the folders for code implementations, resources, and materials related to each topic covered in the course.