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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Detalles Bibliográficos
Autores principales: Zhu, Hao, Zou, Ke, Li, Yongfu, Cen, Ming, Mihaylova, Lyudmila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631204/
https://www.ncbi.nlm.nih.gov/pubmed/31216649
http://dx.doi.org/10.3390/s19122729

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