Real-Time View Correction for Mobile Devices

被引:13
|
作者
Schops, Thomas [1 ]
Oswald, Martin R. [1 ]
Speciale, Pablo [1 ]
Yang, Shuoran [3 ]
Pollefeys, Marc [1 ,2 ]
机构
[1] Swiss Fed Inst Technol, Dept Comp Sci, Zurich, Switzerland
[2] Microsoft, Zurich, Switzerland
[3] Google, Toronto, ON, Canada
基金
欧盟地平线“2020”;
关键词
View Correction; Depth Image Based Rendering (DIBR); Mobile Devices; Augmented Reality (AR); CAMERA CALIBRATION;
D O I
10.1109/TVCG.2017.2734578
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present a real-time method for rendering novel virtual camera views from given RGB-D (color and depth) data of a different viewpoint. Missing color and depth information due to incomplete input or disocclusions is efficiently inpainted in a temporally consistent way. The inpainting takes the location of strong image gradients into account as likely depth discontinuities. We present our method in the context of a view correction system for mobile devices, and discuss how to obtain a screen-camera calibration and options for acquiring depth input. Our method has use cases in both augmented and virtual reality applications. We demonstrate the speed of our system and the visual quality of its results in multiple experiments in the paper as well as in the supplementary video.
引用
收藏
页码:2455 / 2462
页数:8
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