Visual Information Fusion through Bayesian Inference for Adaptive Probability-Oriented Feature Matching

This work presents a visual information fusion approach for robust probability-oriented feature matching. It is sustained by omnidirectional imaging, and it is tested in a visual localization framework, in mobile robotics. General visual localization methods have been extensively studied and optimiz...

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Detalles Bibliográficos
Autores principales: Valiente, David, Payá, Luis, Jiménez, Luis M., Sebastián, Jose M., Reinoso, Óscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069515/
https://www.ncbi.nlm.nih.gov/pubmed/29949916
http://dx.doi.org/10.3390/s18072041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069515/
https://www.ncbi.nlm.nih.gov/pubmed/29949916
http://dx.doi.org/10.3390/s18072041

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