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advanced_tools_in_vision_and_image_processing

Vision by computer



16H
Coefficient 1

Lecture goals


Learn about the image formation pipeline and about advanced computer vision techniques. Apply these techniques to construct computer vision tools that have applications both in traditional and in medical imaging.

Detailed outline


  • Pinhole camera model
  • Geometric principles of mosaicing
  • 2D transformations, homography
  • Image warping and interpolation
  • Detection and matching of interest points
  • Homography estimation (DLT, SVD)
  • Pose estimation
  • RANSAC

Acquired skills


Ability to use fundamental techniques of computer vision and optimisation. Hands-on practice using Matlab to develop a software that automatically builds image mosaics.

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advanced_tools_in_vision_and_image_processing.txt · Dernière modification: 2020/10/21 11:27 (modification externe)