Seamlessly Depth-enhanced VR Display for 360 Wild Images

作者: Yan-Jen Su

摘要

Due to the limited range of depth sensors, the depth estimators for wild images were trained by ordinal data. Without the need of re-train, we proposed an approach to create seamlessly ordinal depth for 360 wild images. The 360 depth was applied to VR display for improving the virtual perception.

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