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A collection of Jupyter notebooks dealing with computer vision problems

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Jupyter notebooks for computer vision

Book in the form of a collection of interactive documents designed with Jupyter Notebook covering fundamental topics from computer vision.

Developed by Antonio Manuel Burgueño, Jose Raul Ruiz Sarmiento, Francisco Angel Moreno, and Javier Gonzalez-Jimenez, all belonging to the Machine Perception and Intelligent Robotics group (MAPIR), University of Malaga (Spain).

Try it in:   Binder

Topics covered

The collection of notebooks is structured in directories, where each directory covers a different computer vision topic:

  1. Welcome (Introduction)
  2. Image processing
  3. Edge detection
  4. Keypoint detection
  5. Image segmentation
  6. Region description
  7. Object recognition
  8. Image formation
  9. Camera calibration
  10. Stereo vision
  11. Real world applications
  12. Appendices

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A collection of Jupyter notebooks dealing with computer vision problems

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