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...

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Detalles Bibliográficos
Autores principales: Rao, Jinmeng, Qiao, Yanjun, Ren, Fu, Wang, Junxing, Du, Qingyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
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

Internet

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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