IvanProdaiko94/UCU-computer-vision-course

This repo contains implementation of computer vision algorithms and solutions to tasks assigned on the course

Computer vision UCU course

This repo contains implementation of computer vision algorithms and solutions to tasks assigned on the course.

Table of contents:

• Homework 1 (implement from scratch):

  • Convolution. Canny edge detector. Hough transform.
  • Fast corner detector. Brief feature descriptor.

• Homework 2 (image processing):

  • Separate text from background (images for task 1)
  • Estimate number of objects (images for task 2)
  • Separate object from background (images for task 3)
  • Find affine transformation matrix using 3 point pairs
  • Find perspective transformation matrix using 4 point pairs
  • Implement PatchMatch algorithm

• Homework 3 (object tracking):

  • Mean shift/Cam shift object tracking
  • Mean shift clustering
  • Template matching
  • Lucas Kanade
  • Content based retrieval
  • Kalman filter

• Homework 4 (geometry and augmented reality):

  • Searching for ellipses by 6 points
  • Camera Calibration
  • Multiple Views Geometry

• Homework 5 (deep learning for computer vision):

  • Paper review
  • CNN visualization
  • Experiment summary