A ROS2 package designed to to detect and estimate pose of ArUco fractal markers

Retroreflective marker tracking using Azure Kinect cameras

Detection of ArUco Markers

Bindings for js-aruco2

The goal of this project is to detect, for each frame of any video belonging to the given dataset, the round markers appearing on the turn-table in the video. Such markers are detected, identified and their position and identities are stored as an output.

This project is a real-time map application that displays your current location and simulates a route using a marker that moves in real-time. It's built using React Native and Expo, making it easy to run on both Android and iOS devices.

The goal of this project is to implement technique known as “space carving" to reconstruct the shape of a 3D object from multiple photographs taken at known but arbitrarily distributed viewpoints

The goal of this project is to capture the position of the concave corner of each numbered marker per each frame of the video, and store all the information in an output csv file.

Experiments with color marker detection with WebGL for my dissertation

OpenCV Aruco for Android

Augmented Reality system for real-time rendering of 3D objects in video feed with marker detection and camera calibration in C++

Experiments with color marker detection using neural networks for my dissertation

AR marker detection using OpenCV and OpenGL

A machine learning approach for pose estimation of hand-drawn marker

Surface Marker Detection Using Single Cell Data

python wrapper of AprilTag implemented in cv2cg, used for Robot Perception course

scTIM is a convenient tool for cell-type indicative marker detection based on single cell RNA-seq data

ROS 2 Simple Detection and Localisation of Known Markers in 3D