A compilation of some of the documents detailing the work carried out during my participation in the Master's Degree in Computer Vision at UAB.
- Week 1 - Content Based Image Retrieval | Color Histograms (Slides)
- Week 2 - Content Based Image Retrieval | Image Splitting and Morphological Operations (Slides)
- Week 3 - Content Based Image Retrieval | Text and Texture Descriptors (Slides)
- Week 4 - Content Based Image Retrieval | Keypoint Descriptors (Slides)
- Week 5 - Content Based Image Retrieval | Combining Descriptors (Slides)
- Final Report - Content Based Image Retrieval
- Week 1 - Image Inpainting (Slides)
- Week 2 - Poisson Editing (Slides)
- Week 3 - Chan-Vese Segmentation (Slides)
- Week 3 - Deep Learning Classification (Slides)
- Week 4 - Deep Learning Classification (Slides)
- Week 5 - Handcrafted and Learnt Classification (Slides)
- Final Report - Hand-crafted vs Learnt Features in Image Classification
- Week 1 - 3D Recovery of Urban Scenes | Image Rectification (Report)
- Week 2 - 3D Recovery of Urban Scenes | Homography Estimation (Report)
- Week 3 - 3D Recovery of Urban Scenes | Fundamental Matrix (Report)
- Week 4 - 3D Recovery of Urban Scenes | Triangulation, Fundamental Matrix and Depth Maps (Report)
- Week 5 - 3D Recovery of Urban Scenes | Structure from Motion and Bundle Adjustment (Report)
- Final Slides - 3D Recovery of Urban Scenes
- Week 1 - Introduction to Pytorch (Slides)
- Week 2 - Object Detection and Segmentation (Slides)
- Week 3 - Challenges of Object Detection (Slides)
- Week 4 - Image Retrieval (Slides)
- Final Slides - An Overview
- Week 1 - Video Surveillance for Road Traffic Monitoring (Slides)
- Week 2 - Video Surveillance for Road Traffic Monitoring (Slides)
- Week 3 - Video Surveillance for Road Traffic Monitoring (Slides)
- Week 4 - Video Surveillance for Road Traffic Monitoring (Slides)
- Final Slides - Video Surveillance for Road Traffic Monitoring
- Final Report - Video Surveillance for Road Traffic Monitoring