“Seamlessly Depth-Enhanced VR Display for 360 Wild Images” by Su, Chien, Lee and Lin
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Entry Number: 26
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- Seamlessly Depth-Enhanced VR Display for 360 Wild Images
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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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