Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCV.2011.6126423
Title: High quality depth map upsampling for 3D-TOF cameras
Authors: Park, J.
Kim, H.
Yu-Wing Tai
Brown, M.S. 
Kweon, I.
Issue Date: 2011
Source: Park, J.,Kim, H.,Yu-Wing Tai,Brown, M.S.,Kweon, I. (2011). High quality depth map upsampling for 3D-TOF cameras. Proceedings of the IEEE International Conference on Computer Vision : 1623-1630. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCV.2011.6126423
Abstract: This paper describes an application framework to perform high quality upsampling on depth maps captured from a low-resolution and noisy 3D time-of-flight (3D-ToF) camera that has been coupled with a high-resolution RGB camera. Our framework is inspired by recent work that uses nonlocal means filtering to regularize depth maps in order to maintain fine detail and structure. Our framework extends this regularization with an additional edge weighting scheme based on several image features based on the additional high-resolution RGB input. Quantitative and qualitative results show that our method outperforms existing approaches for 3D-ToF upsampling. We describe the complete process for this system, including device calibration, scene warping for input alignment, and even how the results can be further processed using simple user markup. © 2011 IEEE.
Source Title: Proceedings of the IEEE International Conference on Computer Vision
URI: http://scholarbank.nus.edu.sg/handle/10635/41060
ISBN: 9781457711015
DOI: 10.1109/ICCV.2011.6126423
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