Abstract

The Internet is used for distributed shared experiences such as video conferencing, voice calls (possibly in a group), chatting, photo sharing, online gaming and virtual reality. These technologies are changing our daily lives and the way we interact with each other. The current rapid advances in 3D depth sensing and 3D cameras are enabling acquisition of highly realistic reconstructed 3D representations. These natural scene representations are often based on 3D point clouds or 3D Meshes. Integration of these data in distributed shared experiences can have a large impact on the way we work and interact online. Such shared experiences may enable 3D Tele-immersion and Mixed reality that combine real and synthetic contents in a virtual world. However, it poses many challenges to the existing Internet infrastructure. A large part of the challenge is due to the shear volume of reconstructed 3D data. End-to-End Internet connections are bandlimited and currently cannot support real-time end-to-end transmission of uncompressed 3D point cloud or mesh scans with hundreds of thousands of points (over 15 Megabytes per frame) captured at a fast rate (over 10 frames per second). Therefore the volume of the 3D data requires development of methods for efficient compression and transmission, possibly taking application and user specific requirements into account. In addition, sessions often need to be setup between different software and devices such as browsers, desktop applications, mobile applications or server side applications. For this reason interoperability is required. This introduces the need for standardisation of data formats, compression techniques and signalling (session management). In the case of mixed reality in a social networking context, users may use different types of reconstructed and synthetic 3D content (from simple avatar commands, to highly realistic 3D reconstructions based on 3D Mesh or Point Clouds). Therefore such signalling should take into account that different types of user-setups exist, from simple to very advanced, that can each join shared sessions and interact.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.