Artificial Intelligence Learning Notes.

Machine Vision Toolbox for MATLAB

Computer Vision - Local Features (HARRIS, MSER, SIFT, PCA-SIFT, GLOH)

Camera calibration based on opencv including basic theory and self-implement scripts.

Detecting important corners in images and real-time video using Harris Corner Detector. and Shi-tomasi corner Detector

Source code for Reconstruct

Implementations of some classical image processing algorithms using matlab.

This is an assignment for our computer vision course. It uses py-Qt5 to make GUI and open-cv to detect feature points and match them. Finally, it outputs an image which is stitched by two images. Part of this code comes from the Internet. Thanks for their unselfish dedication.

SeaFire's project for Harris Design Challenge 2017

The idea of the camera course is to build a collision detection system. You will now build the feature tracking part and test various detector / descriptor combinations to see which ones perform best.

The "finished" app for HDC 2016 as written by the /g/entoomen

corner detections in image using an implementation of Harris corner detection algorithm

Matlab implementation of computer vision algorithms

Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.

In this project,the goal was to extract harris corners and then find matching features in an image.

Harris corner detection in CUDA

Detection of keypoints and construction of panoramic images

Kodi (XMBC/Firestick) addon for the Making Sense With Sam Harris podcast