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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 (...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6631204/ https://ncbi.nlm.nih.gov/pubmed/31216649 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19122729 |
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