Coordinate Transformation

Coordinate transformation involves mapping data points from one coordinate system to another, a crucial task across diverse scientific and engineering domains. Current research focuses on developing efficient and robust algorithms for coordinate transformation, particularly in challenging scenarios like noisy data or complex, nonlinear dynamics, employing techniques such as linear regression, Rodrigues' rotation formula, and attention-based neural networks (e.g., transformers). These advancements are improving accuracy and efficiency in applications ranging from antenna calibration and multi-robot localization to 3D medical image registration and motion tracking in video analysis, ultimately leading to more precise and reliable data processing in various fields.