A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

[CVPR 2023] Two-view Geometry Scoring Without Correspondences

Implementing different steps to estimate the 3D motion of the camera. Provides as output a plot of the trajectory of the camera.

PROSAC algorithm in python

In this project, we try to implement the concept of Stereo Vision. We test the code on 3 different datasets, each of them contains 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of obje…

This repo includes solutions to all the 'in the class quizzes' and 7 problem sets of the Introduction to Computer Vision course (G Tech CS6476 - on Udacity)

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

RANSAC (RANdom SAmple Consensus) Algorithm Implementation

An easy-to-use wrapper around some of Open3D's registration functionality.

This is a software utility for feature matching using affine and homography transformations

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

Simple Python script for testing the robust estimation of the fundamental matrix between two images with RANSAC and MAGSAC++ in OpenCV, and reproducibility across 100 runs.

A python implementation of computing depth from stereo pair of images.

Stitch images into a panorama using SIFT and RANSAC algorithms

Create a panorama stitching image based on multiple images.

Structure from Motion and NeRF

Code/Examples for A New Approach to Robust Estimation of Parametric Structures

visual (inertia) odometry of a drone with a monocular camera

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.