Stitching of large tiled datasets

Program that automatically stitches set of retinal angiography eye images.

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.

MSOP approach for image stitching

Photo_Stitching_with_OpenCv is a professional-grade Python project utilizing OpenCV to stitch two images into a seamless panoramic photo. It demonstrates advanced feature detection and matching techniques, providing the original images, the matching features, and the final panoramic result.

Simple command line tool using OpenCV to stitch images together as a panorama image.

Stitching RGB/RGBD images into a single image.

Stitch together two or multiple images

Using OpenCV stitch ability to create a panorama. Developed a crop method to clean up the unwanted black portion and to enhance visual quality

Google Maps image stitcher using custom styles.

Affine Image Stitching in Super Mario

Image stitching using homography transformation

Download and merge Google Maps tiles

Stitching multiple images from surrounding area to generate its unbroken view called as "panorama"

This project implements a robust image stitching pipeline using feature-based matching techniques. It includes key steps such as SIFT feature detection, KNN matching with Lowe’s ratio test, RANSAC-based homography estimation, and multi-method blending (linear blending and single blending) to produce seamless panoramic images.

Tool for stitching/separating manhwa or long images in general

It is aimed to obtain a final panorama image that will combine the subimages provided using key point identification methods (SIFT/SURF and ORB) and include all the scenes in the subimages.

Design and development of a 360 Degree Field of View Camera, using multiple cameras. The current prototype consists of two cheap webcams mounted on a stand, rotated by a servo motor. The interfacing of the camera is done by a Raspberry Pi 3. The project also consists of developing an efficient stitching algorithm for producing best results.

Pull Google Maps Embedded image tiles from a HAR file and stitch them together into one big image