Rotation Matrix

Rotation matrices are fundamental mathematical tools representing three-dimensional rotations, crucial for applications like pose estimation and computer vision. Current research focuses on improving the accuracy and efficiency of rotation matrix calculations, particularly addressing ambiguities in coordinate systems and Euler angle conventions, and exploring alternative representations like quaternions and unorthogonalized matrices to enhance learning-based approaches. These advancements are significantly impacting fields such as human pose estimation, activity recognition, and robotics by enabling more robust and efficient algorithms for tasks involving 3D object orientation and movement.