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

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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Bibliographic Details
Main Authors: David Valiente, Luis Payá, Luis M. Jiménez, Jose M. Sebastián, Óscar Reinoso
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
omnidirectional imaging
visual localization
catadioptric sensor
visual information fusion
Online Access:http://www.mdpi.com/1424-8220/18/7/2041

Internet

http://www.mdpi.com/1424-8220/18/7/2041

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