/CS6320_CV

Computer Vision Course at the University of Utah

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CS6320_CV

Computer Vision Course at the University of Utah

1. Images as Functions & 2D Transformations with PyTorch

  • Color panes
  • Replacement of pixels
  • Arithmetic and Geometric operations
  • Noise (Gaussian)
  • 2D Transformations
  • PyTorch Model using image preprocessing, 2D transformations & ImageNet Dataset

2. Hough Transformation

  • Gaussian Filter
  • Sobel Edge Detector
  • Hough Transform for lines (Original Image, Smooth Image & Clutter Image)
  • Hough Transform for circles (Original Image, Smooth Image & Clutter Image)
  • Hough Transform on Image with Noise

3. Local Feature Matching

  • Harris Corner Detector
  • SIFTNet (SIFT as a neural network)

4. Camera Projection Matrix and Fundamental Matrix Estimation with RANSAC

  • Projection Matrix Estimation
  • Fundamental Matrix Estimation
  • RANSAC