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

Kim, Minseok; Choi, Sung Ho; Park, Kyeong-Beom; Lee, Jae Yeol

Kim, Minseok; Choi, Sung Ho; Park, Kyeong-Beom; Lee, Jae Yeol.

Afiliación

Kim M; Korea Institute of Science and Technology Information (KISTI), Daejeon 34141, Korea.
Choi SH; Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea.
Park KB; Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea.
Lee JY; Department of Industrial Engineering, Chonnam National University, Gwangju 61186, Korea.

Sensors (Basel) ; 21(1)2021 Jan 05.

Article en En | MEDLINE | ID: mdl-33466398

Palabras clave

augmented reality (AR); deep learning; facility segmentation; industrial AR; manufacturing information visualization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article

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