The Orthogonal Procrustes Problem involves finding the optimal orthogonal matrix that aligns one set of vectors to another, minimizing the Frobenius norm of the difference between them. It is widely used in fields such as machine learning, computer vision, and psychometrics for tasks like shape analysis and data alignment.