Advanced Computer Vision Assignemnts

System Configuratioon

• Environment: Google Collab
• GPU: A100

Assignmetns for Advanced Computer Vision focused on:

1. Feature Extraction
   • Edge Detector, Hough Transform, RANSAC
   • Image Pyramid w/ Gaussian Filter
   • Feature Extraction with Deep CNN
   • Feature Matching with HoG and SIFT
2. Clustering and Segmentation
   • Principal Component Analysis (PCA)
   • Expectation Maximization (EM) Algorithm with multivariate Gaussian mixture model
   • Segmentation
   • Fourier style tranfer of Fourier Transform
3. Feature Matching and Learning (tracking)
   • Tracking
     • Sum of difference
     • Extrract Features
     • Match
   • Feature Extraction and Recognition
     • Feature Extraction using CNN
     • Run Logistic Regression
     • Implement Receiver Operatinf Characteristic (ROC) Curve
4. Learning and Interference for Visual Recognition
   • Train CNN model
   • Zero Shot Classification
5. 3D Geometry
   • Homography Estimation
   • Fundamental Matrix and Sampson Distance
   • NeRF : Neural Radiance Field to render novel views of an object.