Related Experiment Video
Updated: Dec 10, 2025
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
Published on: April 21, 2023
Improved Pose Estimation of Aruco Tags Using a Novel 3D Placement Strategy
Petr Oščádal1, Dominik Heczko1, Aleš Vysocký1
1Department of Robotics, Faculty of Mechanical Engineering, VSB-TU Ostrava, 70833 Ostrava, Czech Republic.
This study improves object pose estimation using Aruco tags with a novel 3D Aruco board. This method enhances accuracy and stability in monocular vision systems.
Area of Science:
- Computer Vision
- Robotics
- 3D Reconstruction
Background:
- Monocular object pose estimation is crucial for robotics and augmented reality.
- Existing Aruco tag localization methods face challenges in accuracy and stability.
- Standardized testing is essential for validating camera calibration and pose estimation pipelines.
More Related Videos
05:57Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster Nephrops norvegicus
Published on: April 8, 2019
08:25Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
Published on: May 7, 2019