한국정보통신학회 논문지 (Journal of the Korea Institute of Information and Communication Engineering)
Current Result Document :
| 한글제목(Korean Title) |
cGANs 기반 3D 포인트 클라우드 데이터의 실시간 전송 기법 |
| 영문제목(English Title) |
Real-time transmission of 3G point cloud data based on cGANs |
| 저자(Author) |
Kwang-Seong Shin
Seong-Yoon Shin
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| 원문수록처(Citation) |
VOL 23 NO. 11 PP. 1482 ~ 1484 (2019. 11) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
We present a method for transmitting 3D object information in real time in a telepresence system. Three-dimensional object information consists of a large amount of point cloud data, which requires high performance computing power and ultra-wideband network transmission environment to process and transmit such a large amount of data in real time. In this paper, multiple users can transmit object motion and facial expression information in real time even in small network bands by using GANs (Generative Adversarial Networks), a non-supervised learning machine learning algorithm, for real-time transmission of 3D point cloud data. In particular, we propose the creation of an object similar to the original using only the feature information of 3D objects using conditional GANs.
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| 키워드(Keyword) |
GANs
3D point cloud
conditional-GANs
hologram
tele presence
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| 파일첨부 |
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