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》 资源 》论文》Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading

Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading

2019-10-17 | |  55 |   61 |   0
Abstract We put forward a principled variational approach for up-sampling a single depth map to the resolution of the companion color image provided by an RGB-D sensor. We combine heterogeneous depth and color data in order to jointly solve the ill-posed depth super-resolution and shapefrom-shading problems. The low-frequency geometric information necessary to disambiguate shape-from-shading is extracted from the low-resolution depth measurements and, symmetrically, the high-resolution photometric clues in the RGB image provide the high-frequency information required to disambiguate depth super-resolution.

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