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computer-vision---1's Introduction

My Coursework of CSE 252A: Computer Vision at UCSD under Prof. Ben Ochoha

DISCLAIMER: Please take advice with your academic integrity advisor if you plan to use or take inspiration from this.

All the ipynb files are self explanatory and commented. I would definitly recommend this course under Ben Ochoha, although the assignments used to be lengthy, learned a lottt!! :)

Summary:

  1. HW0 (46/50): Numpy Vectorization and Image Manipulation

  2. HW1 (68.5/70): Projective Geometry, World to Cam Coordinates, Surface Rendering (Lambertian, Blinn Phong), Photometric Stereo

  3. HW2 (89/93): Image Filtering, Canny Edge Detection, Corner Detection, Epipolar Rectificaion and Feature Matching

  4. HW3 (110/110): Gaussian Pyramid, Scale Space, Uncalibrated Stereo, Ransac, Optical Flow

  5. HW4 (56/56): ML (KNN, PCA on MNSIT data), DL (SLP, MLP, CNN)

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