Implementations in Python for COMP425: Computer Vision. This repository covers edge and corner detection, image segmentation and clustering, ...

Visual Odometry Implementation using KITTI Dataset and OpenCV

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

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

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

Geometrical computer vision and deep learning methods for creating a panorama image

3D scene reconstruction and camera pose estimation from custom dataset images

3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

Estimating Ground Surface Normals and Fitting Surfaces to Noisy LIDAR Point Cloud Data

3D Point Cloud Plane-Fitting RANSAC-like Algorithm for Kinect V2 in Processing

Assignment on Digital Image Processing University course

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

Computer vision algorithm for the recognition of the matching figure between two cards in the Dobble game.

Comparison of visual odometry transformation reconstruction methods for optimal path estimates and localization using feature detection, description, matching and trajectory generation

PROSAC algorithm in python

Render an 3d Object

[CVPR 2023] Two-view Geometry Scoring Without Correspondences

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

Structure from Motion and NeRF

A program to identify epipoles. The epipolar line is the straight line of intersection of the epipolar plane with the image plane. It is the image in one camera of a ray through the optical center and image point in the other camera. All epipolar lines intersect at the epipole.