Towards Real-time 3D Visualization with Multiview RGB Camera Array-Reference-Cited by-同舟云学术

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Towards Real-time 3D Visualization with Multiview RGB Camera Array

Published:2022-01-27 Issue:3 Volume:94 Page:329-343
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Ke Jianwei^ORCID,Watras Alex J,Kim Jae-Jun,Liu Hewei,Jiang Hongrui,Hu Yu Hen

Funder

National Institute of Biomedical Imaging and Bioengineering

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11265-021-01729-0.pdf

Reference44 articles.

1. Furukawa, Y., & Ponce, J. (2010). Accurate, dense, and robust multiview stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(8), 1362–1376. https://doi.org/10.1109/TPAMI.2009.161

2. Galliani, S., Lasinger, K., & Schindler, K. (2015). Massively parallel multiview stereopsis by surface normal diffusion. In 2015 IEEE International Conference on Computer Vision (ICCV) (pp. 873–881). https://doi.org/10.1109/ICCV.2015.106

3. Shen, S. (2013). Accurate multiple view 3d reconstruction using patch-based stereo for large-scale scenes. IEEE Transactions on Image Processing, 22(5), 1901–1914. https://doi.org/10.1109/TIP.2013.2237921

4. Xu, Q., & Tao, W. (2018). Multi-view stereo with asymmetric checkerboard propagation and multi-hypothesis joint view selection.

5. Zheng, E., Dunn, E., Jojic, V., & Frahm, J. M. (2014). Patchmatch based joint view selection and depthmap estimation. In 2014 IEEE Conference on Computer Vision and Pattern Recognition (pp. 1510–1517). https://doi.org/10.1109/CVPR.2014.196

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