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