3D Shape from SEM Image Using Improved Fast Marching Method-Reference-Cited by-同舟云学术

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3D Shape from SEM Image Using Improved Fast Marching Method

Published:2017 Issue: Volume: Page:735-747
ISSN:0302-9743
Container-title:Advanced Concepts for Intelligent Vision Systems
language:
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Author:

Huang Lei,Iwahori Yuji,Wang Aili,Bhuyan M. K.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-70353-4_62

Reference8 articles.

1. Roy, S., Meunier, J., Marian, A.M., Vidal, F., Brunette, I., Costantino, S.: Automatic 3D reconstruction of quasi-planar stereo Scanning Electron Microscope (SEM) images. In: 34th Annual International Conference of the IEEE EMBS, pp. 4361–4364 (2012)

2. Kimmel, R., Sethian, J.A.: Optimal algorithm for shape from shading and path planning. J. Math. Imaging Vis. (JMIV) 14(3), 234–244 (2001)

3. Iwahori, Y., Funahashi, K., Woodham, R.J., Bhuyan, M.K.: Neural netwark based image modification for shape from observed SEM images. In: 22nd International Conference on Pattern Recognition (ICPR 2014), pp. 2131–2136 (2014)

4. Zou, C., Hancock, E.: Recovering 3D shape using an improved fast marching method. In: 2010 International Conference on Pattern Recognition, pp. 1678–1681 (2010)

5. Hassouna, M.S., Farag, A.A.: Multistencils fast marching methods: a highly accurate solution to the Eikonal equation on Cartesian domains. IEEE Trans. Pattern Anal. Mach. Intell. 29(9), 1–12 (2007)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shape Recovery Using Improved Fast Marching Method for SEM Image;2018 5th International Conference on Computational Science/ Intelligence and Applied Informatics (CSII);2018-07

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