Marker Localization

Marker localization focuses on accurately identifying the position and orientation of markers within an image or scene, a crucial step in various applications ranging from robotic navigation and motion capture to medical imaging and space debris removal. Current research emphasizes robust and efficient algorithms, including convolutional neural networks (CNNs) for marker detection and various optimization techniques for precise localization, often incorporating filtering methods to reduce noise and improve accuracy. These advancements are driving improvements in autonomous systems, medical procedures, and scientific data analysis by enabling more precise and reliable tracking and measurement capabilities.