Search Results for "aruco-2.0.19"
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Showing 5 open source projects for "aruco-2.0.19"
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Take away the pain and hassle associated with applicant recruitment, hiring, and onboarding with ApplicantStack. Designed for HR professionals and recruiters, ApplicantStack helps streamline the recruiting and onboarding processes to improve productivity and reduce costs. ApplicantStack provides a complete toolkit that includes tools for posting, launching, and advertising jobs, assessing and managing candidates, collaborating with teams, centralizing information for quick hiring and onboarding, and more.
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Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
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1
ArUco
Augmented reality library based on OpenCV
ArUco is a minimal library for Augmented Reality applications based exclusively on OpenCV. Relies on b/w markers with codes that are detected by calling a single function. Trivial integration of your augmented reality applications with OpenGL and OGRE. See documentation at https://drive.google.com/file/d/1OiavRVYVJ-WH88sQg1LUsh8CuJZUQyrX/view?usp=sharing -
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MarkerMapper
A cost-effective localization system using planar squared markers
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... -
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ucoslam
Visual SLAM. https://www.uco.es/investiga/grupos/ava/portfolio/ucoslam
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 -
4
Indoor Camera Positioning Datasets
Datasets generated for Large Scale Indoor Camera Positioning project
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... -
Discover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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5
JuMarker
Creation and Detection of Customized Fiducial Markers
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...
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