Fight Ill-Posedness with Ill-Posedness: Single-shot Variational Depth Super-Resolution from Shading
Haefner B, Queau Y, Moellenhoff T, Cremers D (2018)
Publication Type: Conference contribution
Publication year: 2018
Journal
Publisher: IEEE Computer Society
Pages Range: 164-174
Conference Proceedings Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Event location: Salt Lake City, UT, USA
ISBN: 9781538664209
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 shape-from-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.
Involved external institutions
Germany (DE)How to cite
APA:
Haefner, B., Queau, Y., Moellenhoff, T., & Cremers, D. (2018). Fight Ill-Posedness with Ill-Posedness: Single-shot Variational Depth Super-Resolution from Shading. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 164-174). Salt Lake City, UT, USA: IEEE Computer Society.
MLA:
Haefner, Bjoern, et al. "Fight Ill-Posedness with Ill-Posedness: Single-shot Variational Depth Super-Resolution from Shading." Proceedings of the 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA IEEE Computer Society, 2018. 164-174.
BibTeX: Download