Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
J. Cho, S. Ikehata, H. Yoo, M. Gelautz, K. Aizawa:
"Depth Map Upsampling using Cost-Volume Filtering";
Vortrag: 11th IEEE IVMSP Workshop,
Korea;
10.06.2013
- 12.06.2013; in: "Proc. of IVMSP Workshop",
(2013),
S. 1
- 4.
Kurzfassung englisch:
Depth maps captured by active sensors (e.g., ToF cameras and Kinect) typically suffer from poor spatial resolution, considerable amount of noise, and missing data. To overcome these problems, we propose a novel depth map up-sampling method which increases the resolution of the original depth map while effectively suppressing aliasing artifacts. Assuming that a registered high-resolution texture image is available, the cost-volume filtering framework is applied to this problem. Our experiments show that cost-volume filtering can generate the high-resolution depth map accurately and efficiently while preserving discontinuous object boundaries, which is often a challenge when various state-of-the-art algorithms are applied.
Schlagworte:
Depth map super-resolution, cost-volume filtering, up-sampling
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/IVMSPW.2013.6611912
Zugeordnete Projekte:
Projektleitung Margrit Gelautz:
3D VideoFusion