Significance-based Large-Scale 3D Point Cloud Compression and Management
- 0 Collaborators
The project is focused on compression of dynamic point clouds for streaming and also used in emerging applications like Virtual reailty. ...learn more
Virtual Reality, Robotics, Artificial Intelligence
Groups
Student Developers for AI,
Artificial Intelligence Europe,
Internet of Things,
Portland Machine Learning Meetup,
DeepLearning,
Intel Out of the Box Network Developers group,
Hacker Lab IoT,
Artificial Intelligence India
Overview / Usage
3D point-cloud (3DPC) is becoming a popular representation of the world in the emerging interaction and communication applications such as virtual reality entertainment, gaming, 3D free viewpoint sport replays broadcasting. Several typical user cases can be found in [ISO/IEC JTC1/SC29/WG11 MPEG2015/ N16331’16]. A critical problem of the 3DPC representation is the huge amount of data to signal such 3D information. Currently, many efforts have been put on developing techniques those are able to efficiently compress 3DPC representations [Rufael’17, D. Thanou’15, R. L. de Queiroz’16]. However, these is no an international compression standard for 3DPC sequences. Logically, MPEG have made a call for proposals in order to develop a coding standard for 3DPC compression technology [ISO/IEC JTC1/SC29/WG11 MPEG2014/N16732’17].