cGANs 기반 3D 포인트 클라우드 데이터의 실시간 전송 기법

• Published in: 한국정보통신학회논문지 Vol. 23; no. 11; pp. 1482 - 1484
• Main Authors: Shin, Kwang-Seong, Shin, Seong-Yoon
• Format: Journal Article
• Language: Korean
• Published: 한국정보통신학회 2019
• Subjects: 전자/정보통신공학; 3D point cloud; conditional-GANs; GANs; tele presence; hologram
• ISSN: 2234-4772; 2288-4165
• DOI: 10.6109/jkiice.2019.23.11.1482

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.