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