Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-resolution Image Registration

Author:

Oreshkin Boris N.,Arbel Tal

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Benhimane, S., Ladikos, A., Lepetit, V., Navab, N.: Linear and quadratic subsets for template-based tracking. In: Proc. IEEE CVPR, Minneapolis, MN, USA (June 2007)

2. Brooks, R., Arbel, T.: The importance of scale when selecting pixels for image registration. In: Proc. CRV, Paris, France, pp. 235–242 (May 2007)

3. Brooks, R.: Efficient and Reliable Methods for Direct Parameterized Image Registration. Ph.D. thesis, McGill University (2008)

4. Dellaert, F., Collins, R.: Fast image-based tracking by selective pixel integration. In: Proc. ICCV, Kerkyra, Greece (September 1999)

5. Fitzpatrick, J., West, J., Maurer, C.: Predicting error in rigid-body point-based registration. IEEE TMI 17(5), 694–702 (1998)

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1. Uncertainty Driven Probabilistic Voxel Selection for Image Registration;IEEE Transactions on Medical Imaging;2013-10

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