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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-06-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/7/2041 |