Introduction to Computer Vision

KAIST 2019 Fall CS484 (Introduction to Computer Vision) Assignments Assignments for CS484 Introduction to Computer Vision, 2019 Fall, KAIST. Instructions and skeleton codes are provided from the course, by KAIST VISUAL COMPUTING Lab.

Requirements

• Assignment 1 ~ 3 MATLAB 2017a or above, Image Processing Toolbox, Computer Vision Toolbox, Statistics and Machine Learning Toolbox
• Assignment 4 ~ 5 MATLAB 2019b or above, Image Processing Toolbox, Computer Vision Toolbox, Statistics and Machine Learning Toolbox

Assignments

1. Introduction to MATLAB

Toy project to get familiar with MATLAB including vectorization technique.

2. Convolution image filter using FFT

Implementation of convolution image filter, using fft and ifft.

3. Image rectification and disparity map calculation

Given two bayer pattern images and feature points, demosaic them, find the fundamental matrix, find homography matrices, rectify them and generate a disparity map.

4. Stereo image feature matching

Given two stereo images, find interest points, create feature descriptors, and match the features.

5. Image classification

Image representation (Tiny images, Bag of words) and classification (Nearest neighbor, Support Vector Machine).