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Computer Vision | Tongji Univ. SSE Course Notes & Projects

MATLAB 100.00%
computer-vision panorama-stitching ransac scale-invariant-feature-transform tongji-university

computer-vision's Introduction

Computer Vision


Body of Knowledge

BOK.png


Project Structure

  • Experiment
  • Assignment
    • Assignment 1
      • Prove: isometries matrices forms a group
      • Prove: DoG can be a good approximation of LoG
      • Prove: ATA*(least square method to solve a over-determined linear system)* is non-singular
    • Assignment 2
      • Calculate: infinity point in the homogeneous coordinate in the augmented Euclidean plane
      • Prove: four points are coplanar in 3D Euclidean space <=> a special matrix equal to 0
      • Calculate: compute the Jacobian matrix of pd w.r.t pn for performing nonlinear optimization in the pipeline of camera calibration
      • Calculate: compute the Jacobian of the rotation matrix w.r.t its axis-angle representation
    • Assignment 3
      • Varify: the gradient of the cost function for logistic regression

About the Author

Item Info
Name Zhe ZHANG
ID 1754060
Adviser Lin ZHANG
Course Name 42029401 Computer Vision
Email [email protected]

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