NYU is launching a project to spur the development of immersive 3D video for dance education — and perhaps other areas. Boosted by a $1.2 million four-year grant from the National Science Foundation, the undertaking will try to make Point-Cloud Video (PCV) tech viable for streaming.
A point cloud is a set of data points in a 3D space representing the surface of a subject or environment. NYU says Point-Cloud Video, which strings together point-cloud frames into a moving scene, has been under development for the last decade. However, it’s typically too data-intensive for practical purposes, requiring bandwidth far beyond the capabilities of today’s connected devices.
The researchers plan to address those obstacles by “reducing bandwidth consumption and delivery latency, and increasing power consumption efficiency so that PCVs can be streamed far more easily,” according to an NYU Engineering blog post published Monday. Project leader Yong Liu, an NYU electrical and computer engineer
