Cargando…
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...
Autores principales: | Valiente, David, Payá, Luis, Jiménez, Luis M., Sebastián, Jose M., Reinoso, Óscar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
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 |
Ejemplares similares
-
Special Issue on Visual Sensors
por: Reinoso, Oscar, et al.
Publicado: (2020) -
Estimating the position and orientation of a mobile robot with respect to a trajectory using omnidirectional imaging and global appearance
por: Payá, Luis, et al.
Publicado: (2017) -
The Role of Global Appearance of Omnidirectional Images in Relative Distance and Orientation Retrieval
por: Román, Vicente, et al.
Publicado: (2021) -
Estimation of Visual Maps with a Robot Network Equipped with Vision Sensors
por: Gil, Arturo, et al.
Publicado: (2010) -
The Bayesian Sampler: Generic Bayesian Inference Causes Incoherence in Human Probability Judgments
por: Zhu, Jian-Qiao, et al.
Publicado: (2020)