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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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| Опубликовано в: : | Sensors (Basel) |
|---|---|
| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6069515/ https://ncbi.nlm.nih.gov/pubmed/29949916 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18072041 |
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