Search Results for "aruco"

This project allows the creation of cost-effective camera localization systems based on squared planar markers you can print at home. Print the markers, place them in the environment and record a video or take pictures of them. This project analyzes the images and returns the 3D location of the markers: the marker map. The map generated can be used by ArUCO library for localizing your camera. The library depends on Aruco for the marker detection: https://www.uco.es/investiga/grupos...

https://www.uco.es/investiga/grupos/ava/portfolio/ucoslam/ UcoSLAM is a library for Simultaneous Localization and Mapping using keypoints that able to operate with monocular cameras, stereo cameras, rgbd cameras. Additionally, our library is fully integrated with the ArUco library for detecting squared fiducial markers. They can be placed in the environment to improve tracking. See doc at https://drive.google.com/file/d/1bFIEPKadVKKbr_SkIUxGkipIe0t1AxpN/view?usp=share_link

Original project at: https://sourceforge.net/projects/indoor-camera-positioning/. Artificial Datasets These datasets are found in the 'Artificial_Datasets' folder and are created using Blender. They include ground truth data, images, and camera parameters, providing a controlled environment to test and validate our pose estimation algorithms. Both AprilTags and Aruco markers are used to enhance variety and visibility. The marker schemas can be easily modified in the Blender source files...

Fiducial markers such as QR codes, ArUco, and AprilTag have become very popular tools for labeling and camera positioning. They are robust and easy to detect, even in devices with low computing power. However, their industrial appearance deters their use in scenarios where an attractive and visually appealing look is required. In these cases, it would be preferable to use customized markers showing, for instance, a company logo. This work proposes a novel method to design, detect, and track...