Fusion of Novelty Detectors Using Deep and Local Invariant Visual Features for Inspection Task

In this study, a novel framework using multiple novelty detection filters is developed to learn a model of the normality of a robot’s visual perception, which is called multichannel novelty detection. Subsequently, the acquired model was used to highlight dissimilar perceptions when the r...

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Bibliographic Details
Main Authors: Emre Ozbilge, Ebru Ozbilge
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9953994/