Abstract: In this paper, we present an interactive approach for near-isometric shape correspondence. Our key motivation is that the intention of the users in the correspondence problem is valuable, which helps to not only reduce search space for finding the matching pairs but also increase the accuracy of matching results. In our implementation, a cost matrix is introduced, which is updated according to the constraints given by the users. We then combine the cost matrix with an initial similarity matrix to form a joint matrix, and based on which, we formulate a linear assignment objective function to solve the correspondence problem. The experiments show that our method is fast, intuitive and can produce pleasing results.