[1] Zhang X, Jin Y X, Xue D. Image matching algorithm based on SICA-SIFT and particle swarm optimization[J]. Laser & Optoelectronics Progress, 54, 091002(2017).

[2] Peng Y F, Wu H, Zi L L. Image retrieval based on hash method and generative adversarial networks[J]. Laser & Optoelectronics Progress, 55, 101002(2018).

[3] Grimson W E L, Huttenlocher D P[M]. Object recognition by computer: the role of geometric constraints, 350-504(1990).

[4] He X D, Zhou S Z. Fast scale adaptive kernel correlation filtering algorithm for target tracking[J]. Laser & Optoelectronics Progress, 55, 121501(2018).

[5] Serratosa F, Cortés X. Interactive graph-matching using active query strategies[J]. Pattern Recognition, 48, 1364-1373(2015).

[6] Egozi A, Keller Y, Guterman H. A probabilistic approach to spectral graph matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 18-27(2013).

[7] Gori M, Maggini M, Sarti L. Exact and approximate graph matching using random walks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 1100-1111(2005).

[8] Cho M, Lee J, Lee K M. Reweighted random walks for graph matching[M]. ∥Daniilidis K, Maragos P, Paragios N. Computer vision-ECCV 2010. Lecture notes in computer science. Berlin, Heidelberg: Springer, 6315, 492-505(2010).

[9] Zaslavskiy M, Bach F, Vert J P. A path following algorithm for the graph matching problem[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 2227-2242(2009).

[10] Tao S Q[J]. Wang S T. An algorithm for weighted sub-graph matching based on gradient flows. Information Sciences, 340/341, 104-121(2016).

[11] Suh Y, Adamczewski K, Mu Lee K. Subgraph matching using compactness prior for robust feature correspondence. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 5070-5078(2015).

[12] Dahm N, Bunke H, Caelli T et al. Efficient subgraph matching using topological node feature constraints[J]. Pattern Recognition, 48, 317-330(2015).

[13] Lee J, Cho M, Lee K M. A graph matching algorithm using data-driven Markov chain Monte Carlo sampling. [C]∥2010 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey. New York: IEEE, 2816-2819(2010).

[14] Nie W Z, Liu A A, Gao Z et al. Clique-graph matching by preserving global & local structure. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 4503-4510(2015).

[15] Leordeanu M, Hebert M. A spectral technique for correspondence problems using pairwise constraints. [C]∥Tenth IEEE International Conference on Computer Vision (ICCV'05), October 17-21, 2005, Beijing, China. New York: IEEE, 1, 1482-1489(2005).

[16] Liu A A, Wang Z Y, Nie W Z et al. Graph-based characteristic view set extraction and matching for 3D model retrieval[J]. Information Sciences, 320, 429-442(2015).

[17] Zass R, Shashua A. Probabilistic graph and hypergraph matching. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2008, Anchorage, AK, USA. New York: IEEE, 10139805(2008).

[18] Lee J, Cho M, Lee K M. Hyper-graph matching via reweighted random walks. [C]∥2011 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2011, Providence, RI, USA. New York: IEEE, 1633-1640(2011).

[19] Duchenne O, Bach F, Kweon I S et al. A tensor-based algorithm for high-order graph matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2383-2395(2011).

[20] Zhou F, de la Torre F. Factorized graph matching. [C]∥2012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI, USA. New York: IEEE, 127-134(2012).

[21] Leordeanu M, Hebert M, Sukthankar R. An integer projected fixed point method for graph matching and map inference. [C]∥Advances in Neural Information Processing Systems. December 7-10, 2009, Vancouver, British Columbia, Canada. Canada: NIPS, 1114-1122(2009).

[22] Cour T, Srinivasan P, Shi J B. Balanced graph matching. [C]∥Advances in Neural Information Processing Systems, December 4-7, 2006, Vancouver, British Columbia, Canada. Canada: NIPS, 313-320(2007).

[23] Gold S, Rangarajan A. A graduated assignment algorithm for graph matching[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 377-388(1996).

[24] Chun Y D, Kim N C, Jang I H. Content-based image retrieval using multiresolution color and texture features[J]. IEEE Transactions on Multimedia, 10, 1073-1084(2008).

[25] Gao Y, Tang J H, Hong R C et al. Camera constraint-free view-based 3-D object retrieval[J]. IEEE Transactions on Image Processing, 21, 2269-2281(2012).

[26] Wen Y, Gao Y, Hong R C et al. View-based 3D object retrieval by bipartite graph matching. [C]∥Proceedings of the 20th ACM international conference on Multimedia, October 29-November 2, 2012, Nara, Japan. New York: ACM, 897-900(2012).

[27] Ansary T F, Daoudi M, Vandeborre J P. A Bayesian 3-D search engine using adaptive views clustering[J]. IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 9, 78-88(2007).