CS6550 Computer Vision

Geometry | Optics | Photometry | Sensor

Intensity transformation | Edge Detection | Texture Features | Corner Detection | SIFT, Shape Context, LBP, ...

Geometric camera projection model | Camera calibration | Plane projective transformation | Vanishing points | Cross-ratio - projective invariant

Epipolar geometry | Fundamental matrix estimation | Stereo vision | Stereo image rectification | Stereo image matching

Struture from Motion (SfM) problem | Affine SfM | Factorization method | Bundle adjustment

Motivation for model fitting | Hough transform | Model fitting from data with outliers

K-means Clustering | Mean Shift Segmentation | Normalized Cuts Segmentation

Framework | Image Features | Decision Tree | kNN | Bayes Classifier | SVM | Emsemble Learning

ANN | Deep learning | CNN | LeNet, Alexnet, VGG, GoogLeNet, ResNet | Optimization | Semantic segmentation | Object detector | Face recognition | GAN

Data Augmentation | Imbalanced Data Learning | Few-Shot Learning | Transfer Learning | Semi-Supervised Learning | Self-Supervised Learning | GAN for Image Synthesis | Synthesizing Data for Training