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Vision by computer

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

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.


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