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Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving
In this paper, a robust non-rigid feature matching approach for image registration with geometry constraints is proposed. The non-rigid feature matching approach is formulated as a maximum likelihood (ML) estimation problem. The feature points of one image are represented by Gaussian mixture model (...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631204/ https://www.ncbi.nlm.nih.gov/pubmed/31216649 http://dx.doi.org/10.3390/s19122729 |