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A Mobile Outdoor Augmented Reality Method Combining Deep Learning Object Detection and Spatial Relationships for Geovisualization
The purpose of this study was to develop a robust, fast and markerless mobile augmented reality method for registration, geovisualization and interaction in uncontrolled outdoor environments. We propose a lightweight deep-learning-based object detection approach for mobile or embedded devices; the v...
Autores principales: | Rao, Jinmeng, Qiao, Yanjun, Ren, Fu, Wang, Junxing, Du, Qingyun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621345/ https://www.ncbi.nlm.nih.gov/pubmed/28837096 http://dx.doi.org/10.3390/s17091951 |
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