Create panorama image using invariant features from given set of overlapping images.

Interactive code for image similarity using SIFT algorithm

Computer Vision Essentials in Python Programming Language 🎉

🚥 Python library to read license plate numbers from images

Panorama image stitching using SIFT algorithm, Homography, RANSAC and weighted blending in OpenCV.

Programs to detect keyPoints in Images using SIFT, compute Homography and stitch images to create a Panorama and compute epilines and depth map between stereo images.

3D scene reconstruction and camera pose estimation given images from different views (Structure from Motion)

Copy objects from real life and directly paste them on a background image using only your phone's camera

Python object detection package (uses TF models and OpenCV)

Obstacle Avoidance for small UAVs using monocular vision

This project takes in an image of a finger, then preprocesses this input image to extract the fingerprint and using SIFT, checks if this fingerprint is already present in the database.

Fingerprint Matching System Final Year Project

Build a classifier to classify transport using sift and svm

video2panorama is a Python-based tool designed to transform video sequences into panoramic images. It automates the stitching process by analyzing frames from input video files and producing panoramic outputs.

Splicing detection | ML

Object 2D Pose Estimation trained by RGB Data - Using Intel® RealSense D435

Demonstration of sift algorithm to track objects and observing the effect of each parameter on performance.

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.

stereo vision: estimate 3D vision depending on information extracted from 2D-images. 1)Feature extract, using SIFT algorithm. 2)Matching, using KNN algorithm. 3)Compute "Fundamental Matrix", using RANSAC algorithm. 4)Reconstruction. 5)Triangulation. 6)Pose disambiguation. 7)Rectification. 8)Disparity Computing.

Insanely fast smart cropping using OpenCV SIFT algorithm