A new approach to streaming technology may significantly improve how users experience virtual reality and augmented reality environments, according to a new study.
The research describes a method for directly predicting visible content in immersive 3D environments, potentially reducing bandwidth requirements by up to 7-fold while maintaining visual quality.
The technology is being applied in an ongoing NYU Tandon National Science Foundation-funded project to bring point cloud video to dance education, making 3D dance instruction streamable on standard devices with lower bandwidth requirements. Unlike traditional approaches that first predict where a user will look and then calculate what's visible, this new method directly predicts content visibility in the 3D scene. By avoiding this two-step process, the approach reduces error accumulation and improves prediction accuracy.
"What makes this work particularly interesting is the time horizon," said Liu."Previous systems could only accurately predict what a user would see a fraction of a second ahead. This team has extended that." "We're seeing a transition where AR/VR is moving from specialized applications to consumer entertainment and everyday productivity tools," Liu said."Bandwidth has been a constraint. This research helps address that limitation."
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