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학술대회 Lightweight Deep Learning based Intelligent Mobile Augmented Reality
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저자
고종국, 이수웅, 이승재, 이주원
발행일
202111
출처
International Conference on Consumer Electronics (ICCE) 2021 : Asia, pp.373-375
DOI
https://dx.doi.org/10.1109/ICCE-Asia53811.2021.9641972
협약과제
21HH5100, 객체추출 및 실-가상 정합 지원 모바일 AR 기술 개발, 고종국
초록
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.
키워드
Augmented Reality, Lightweight Deep learning, Object Detection
KSP 제안 키워드
Augmented reality(AR), Augmented reality technology, Effective model, Mobile AR, Model compression, Model structure, Object detection, Real-world, Scene Segmentation, deep learning(DL), deep learning models