Inexact graph matching using a hierarchy of matching processes

Author:

Morrison Paul,Zou Ju Jia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Reference26 articles.

1. Conte, D.; Foggia, P.; Sansone, C.; Vento, M. How and why pattern recognition and computer vision applications use graphs. In: Studies in Computational Intelligence, Vol. 52. Kandel, A.; Bunke, H.; Last, M. Eds. Springer-Verlag Berlin Heidelberg, 85–135, 2007.

2. Hu, S.-M.; Zhang, F.-L.; Wang, M.; Martin, R. R.; Wang, J. PatchNet: A patch-based image representation for interactive library-driven image editing. ACM Transactions on Graphics Vol. 32, No. 6, Article No. 196, 2013.

3. Vento, M.; Foggia, P. Graph matching techniques for computer vision. In: Graph-Based Methods in Computer Vision: Developments and Applications. Bai, X.; Cheng, J.; Hancock, E. Eds. IGI Global, 1–41, 2012.

4. Wang, M.; Lai, Y.-K.; Liang, Y.; Martin, R. R.; Hu, S.-M. BiggerPicture: Data-driven image extrapolation using graph matching. ACM Transactions on Graphics Vol. 33, No. 6, Article No. 173, 2014.

5. Bai, X.; Latecki, L. J. Path similarity skeleton graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 30, No. 7, 1282–1292, 2008.

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