danakianfar / computer_vision_1

Computer Vision 1 Course 2017 - MSc Artificial Intelligence @ UvA

Computer Vision 1

Description

Code for the labs of the Computer Vision 1 course at the University of Amsterdam.

Lab 1 - Photometric Stereo and Color Spaces

• Report

Reconstructed Surface	Reconstructed Normals

Lab 2 - Image Filtering, Histogram Matching, Gradient and Unsharp Kernels

• Report

Histogram Matching

Unsharp Mask

Lab 3 - Corner Detection, Optical Flow and Tracking

• Report

Corner Detection - Left: Our - Right: MATLAB

Tracking

Lab 4 - Image Alignment and Stitching

• Report

Image Stitching

Final Project - Multi-Class Image Classification: BoW and CNNs

• Report

Pre-trained Features	Fine-tuned Features

Testing

Refer to each lab and run the MATLAB code as follows:

matlab main.m

Dependencies

• MATLAB 2016b

Contributors

• Dana Kianfar
• Jose Gallego

Copyright

Copyright © 2017 Dana Kianfar and Jose Gallego.

This project is distributed under the MIT license. This was code as part of the Computer Vision 1 course taught by Theo Gevers at the University of Amsterdam. Please review the UvA regulations governing Fraud and Plagiarism in case you are a student at the UvA.