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Cramér-Rao Lower Bound for Point Based Image Registration with Heteroscedastic Error Model for Application in Single Molecule Microscopy
The Cramér-Rao lower bound for the estimation of the affine transformation parameters in a multivariate heteroscedastic errors-in-variables model is derived. The model is suitable for feature-based image registration in which both sets of control points are localized with errors whose covariance mat...
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| Publicado no: | IEEE Trans Med Imaging |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4673898/ https://ncbi.nlm.nih.gov/pubmed/26641728 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2015.2451513 |
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