Prototype Learning and Collaborative Representation using Grassmann Manifolds for Image Set Classification

•Principle component and variation subspaces are constructed for an over-complete dictionary.•A novel prototype and variation model (P+V) based collaborative representation for Grassmann manifolds is proposed to deal with image set classification naturally.•Previous special matrices are generalized to common sparse matrices.•Experimental results show the superiorities of our methods.