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A Robust Vision-Based Method for Displacement Measurement under Adverse Environmental Factors Using Spatio-Temporal Context Learning and Taylor Approximation
Currently, the majority of studies on vision-based measurement have been conducted under ideal environments so that an adequate measurement performance and accuracy is ensured. However, vision-based systems may face some adverse influencing factors such as illumination change and fog interference, w...
Autores principales: | Dong, Chuan-Zhi, Celik, Ozan, Catbas, F. Necati, OBrien, Eugene, Taylor, Su |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679297/ https://www.ncbi.nlm.nih.gov/pubmed/31330769 http://dx.doi.org/10.3390/s19143197 |
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