TY - GEN
T1 - Depth superresolution using motion adaptive regularization
AU - Kamilov, Ulugbek S.
AU - Boufounos, Petros T.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/22
Y1 - 2016/9/22
N2 - Spatial resolution of depth sensors is often significantly lower compared to that of conventional optical cameras. Recent work has explored the idea of improving the resolution of depth using higher resolution intensity as a side information. In this paper, we demonstrate that further incorporating temporal information in videos can significantly improve the results. In particular, we propose a novel approach that improves depth resolution, exploiting the space-time redundancy in the depth and intensity using motion-adaptive low-rank regularization. Experiments confirm that the proposed approach substantially improves the quality of the estimated high-resolution depth. Our approach can be a first component in systems using vision techniques that rely on high resolution depth information.
AB - Spatial resolution of depth sensors is often significantly lower compared to that of conventional optical cameras. Recent work has explored the idea of improving the resolution of depth using higher resolution intensity as a side information. In this paper, we demonstrate that further incorporating temporal information in videos can significantly improve the results. In particular, we propose a novel approach that improves depth resolution, exploiting the space-time redundancy in the depth and intensity using motion-adaptive low-rank regularization. Experiments confirm that the proposed approach substantially improves the quality of the estimated high-resolution depth. Our approach can be a first component in systems using vision techniques that rely on high resolution depth information.
UR - https://www.scopus.com/pages/publications/84992109244
U2 - 10.1109/ICMEW.2016.7574677
DO - 10.1109/ICMEW.2016.7574677
M3 - Conference contribution
AN - SCOPUS:84992109244
T3 - 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
BT - 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
Y2 - 11 July 2016 through 15 July 2016
ER -