The Influence of Uncertainty Contributions on Deep Learning Architectures in Vision-Based Evaluation Systems.

Giuseppina Callari,Arianna Mencattini,Paola Casti,Maria Colomba Comes,Davide Di Giuseppe,Corrado Di Natale,Innocenzo Sammarco,Antonio Pietroiusti,Andrea Magrini,Giorgio Isidoro Lesci,Marco Luce,Antonio L. Cricenti,Eugenio Martinelli

IEEE Transactions on Instrumentation and Measurement（2019）

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摘要

Vision-based measurement (VBM) systems are powerful tool to extract quantitative information by acquiring video sequence or static images. When a VBM is applied to the evaluation of nominal properties, such as image characteristics, the term VBM is substituted with vision-based evaluation (VBE) by extending the framework of operation unit to a new concept of evaluation unit (EU) for the image anal...

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关键词

Uncertainty,Measurement uncertainty,Calibration,Computer architecture,Training,Degradation,Visualization

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