Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV

Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.

Repositório utilizado para armazenar algoritmos de reconhecimento facial

Detection of copy-move forgery in an image with CMDF methods. (SIFT, SURF, AKAZE, RANSAC)

Python Surfline API

Edubadges: A SURF project for Open Badge issuing and management with Django.

[Book Course] - Course: Book-OpenCV with Python By Example_ Build real-world computer vision applications and develop cool demos using OpenCV for Python

get feature map of two image and adjust both in a crop

2017 surf project supervised by Dr. Liang

Image Mosaicing/Stitching Using SURF.

Code repository for Tactode tiles recognition using: (i) machine learning with HOG&SVM, (ii) deep learning with some neural networks like VGG16/19, ResNet152, MobileNetV2, YOLOv4 and SSD, (iii) matching of handcrafted features with SIFT, SURF, ORB and BRISK, and (iv) template matching.

This repository aims at performing Image based Retrival of query images using 3 different kinds of features: Color Correlogram, Scale Invariant Blob Detection (LoG), and SURF.

My thesis

Panorama Image Stitching Using SIFT and SURF Keypoint Descriptors

Simple feature detection project

computer vision tools

The computer science thesis project that I worked on when I was a student and was looking for a part time job

UIBK project: Comparing the performance of SIFT, SURF and HOG for image classification.

This is for my Computer Vision quiz practice, we only taught to match 2 images, though. So, I challenge myself to create an image matching program to detect more than 2 images from 2 different directories (the object & scene) using SURF & FLANN.