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Conference Paper
Lightweight Deep Learning based Intelligent Mobile Augmented Reality
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- Authors
- Jong Gook Ko, Suwoong Lee, Seungjae Lee, Juwon Lee
- Issue Date
- 2021-11
- Citation
- International Conference on Consumer Electronics (ICCE) 2021 : Asia, pp.373-375
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Recently augmented reality technology is developing from simply displaying virtual objects in the real world to technologies that realistically fuse with real information. This paper introduces intelligent mobile AR technology that provides object and scene information by utilizing lightweight object detection and scene segmentation techniques operable in mobile phones. We provide object detection and scene segmentation capabilities with effective model structure improvements and model compression-based deep learning models for lightweight deep-learning models.In addition, we have made intelligent demonstration contents based on ARCore to provide object and scene information as well as display simple virtual objects.
- KSP Keywords
- Augmented reality(AR), Augmented reality technology, Mobile AR, Model compression, Model structure, Real-world, Scene Segmentation, Segmentation techniques, deep learning(DL), deep learning models, effective model