A bidirectional disparity area feature-constrained match method is proposed in this paper. In this method

after feature points of two images extracted

disparity area constraint is designed to reduce candidate match point sets during the process of bidirectional uniqueness constraint correspondence according to the binocular projection characteristics. Then the slipping neighborhood disparity is designed to reject false match points. Experimental results show that the proposed method can be easily implemented for processing complicated scenes and get high precision matching quickly.