Computer Vision Classwork

Classwork for my Computer vision courses

CSE 152 work:

• HW0
  • Performed some matrix math
  • imported images
• HW1
  • Performed some linear algebra
  • Image filtering and with template matching as well
  • Corner Detection
  • Feature matching with SIFT
• HW2
  • Sparse Stereo Matching
  • Normalized Cross-Correlation Matching
  • Naive Matching
  • Epipolar Geometry and plots
  • RANSAC for Estimating Fundamental Matrix
• HW3
  • Photometric Stereo for constructing a depth map
  • Optical Flow
  • RANSAC for Focus of Expansion
• HW4
  • K-Nearest Neighbors(KNN) on MNIST
  • Principal Compenent Analysis(PCA) with KNN
  • Deep Neural Network for image recognition
  • Convolutional Neural Network for image recognition

CSE 152B work:

• HW1
  • Structure from motion usintg a few different methods
  • Optical Flow with Lucas-Kanade
• HW3
  • Image Segmentation using UNet
  • Single Shot Detector for object detection