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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dong, Chuan-Zhi, Celik, Ozan, Catbas, F. Necati, OBrien, Eugene, Taylor, Su
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679297/
https://www.ncbi.nlm.nih.gov/pubmed/31330769
http://dx.doi.org/10.3390/s19143197

Ejemplares similares