Stitch images using SuperGlue features instead of mouse-clicked points. Compute the homography through RANSAC or MSAC. Stitch more than two images using mouse-clicked points. Handle the seams. {SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)}

Assignments for 3D Computer Vision, IIT Gandhinagar

Image processing and vision based assignments completed in computer vision course

Building a panaroma using homographies

This is a program that takes as input two images that are related by a rotation homograph and creates a single panoramic image as output. This is done by warping the right into the left image. findhomography method of RANSAC algorithms was used to compute the homography and then warperspective routine was used with the computed homography to war…

Computer Vision, CSE 6367, projects. Class is taken during Spring 2019, taught by Dr. William Beksi.

This project takes a set of drone images and stiches them together to create a large composite image.

A Python implementation to stitch two images into a panorama using SIFT descriptors, homographic projections, and image warping techniques.

We will look at the role and use of calibrated cameras for simple photomosaicing.

image-processing-miniprojects

A python script that can stitch two images into a panorama through feature detection and matching.