Abstract: A new progressive alignment method is proposed, while only the local coordinates of the two patches with the largest intersection at the current stage of progressive alignment will be aligned into a larger local coordinate. The method has the following features: without needing to solve a largescale eigenvalues problem and suffering from the problem of local minima; less accumulation and propagation of alignment errors.

Key words: manifold learning; dimensionality reduction; alignment