A Hybrid Approach to Industrial Augmented Reality Using Deep Learning-Based Facility Segmentation and Depth Prediction

Typical AR methods have generic problems such as visual mismatching, incorrect occlusions, and limited augmentation due to the inability to estimate depth from AR images and attaching the AR markers onto physical objects, which prevents the industrial worker from conducting manufacturing tasks effec...

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Detalles Bibliográficos
Autores principales: Kim, Minseok, Choi, Sung Ho, Park, Kyeong-Beom, Lee, Jae Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796343/
https://www.ncbi.nlm.nih.gov/pubmed/33466398
http://dx.doi.org/10.3390/s21010307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796343/
https://www.ncbi.nlm.nih.gov/pubmed/33466398
http://dx.doi.org/10.3390/s21010307

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