The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Intel(R) RealSense(TM) Stereoscopic Depth Cameras
Abstract
We present a comprehensive overview of the stereoscopic Intel RealSense RGBD imaging systems. We discuss these systems' mode-of-operation, functional behavior and include models of their expected performance, shortcomings, and limitations. We provide information about the systems' optical characteristics, their correlation algorithms, and how these properties can affect different applications, including 3D reconstruction and gesture recognition. Our discussion covers the Intel RealSense R200 and RS400.
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Cites
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Self-citationHigh-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
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Efficient Large-Scale Stereo Matching
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Evaluation of Stereo Matching Costs on Images with Radiometric Differences
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Decentering Distortion of Lenses
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Cited by
Swarm of micro flying robots in the wild
Zhou, X., Wen, X., Wang, Z., Gao, Y., Li, H., Wang, Q., Yang, T., Lu, H., Cao, Y., Xu, C., et al. (2022) · Science Robotics · doi:10.1126/scirobotics.abm5954 · Cited by 657
Skeleton-based action recognition via spatial and temporal transformer networks
Plizzari, C., Cannici, M., & Matteucci, M. (2021) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2021.103219 · Cited by 409
Learning Depth with Convolutional Spatial Propagation Network
Cheng, X., Wang, P., & Yang, R. (2018) · arXiv · doi:10.48550/arxiv.1810.02695 · Cited by 345
Learning Depth with Convolutional Spatial Propagation Network
Cheng, X., Wang, P., & Yang, R. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2947374 · Cited by 341
An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments
Schmid, L., Pantic, M., Khanna, R., Ott, L., Siegwart, R., & Nieto, J. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2969191 · Cited by 308
OmniLRS: A Photorealistic Simulator for Lunar Robotics
Richard, A., Kamohara, J., Uno, K., Santra, S., van der Meer, D., Olivares-Mendez, M., & Yoshida, K. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra57147.2024.10610026 · Cited by 15
Metadata
- Authors
- Keselman, L., Woodfill, J. I., Grunnet-Jepsen, A., & Bhowmik, A.
- Venue
- 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Publisher
- IEEE
- Published
- 2017-07
- Pages
- 1267-1276
- OpenAlex
- W2745471877
- Cited by
- 448
- References
- 26
- FWCI
- 9.71
- Type
- conference paper
- Language
- en
- Open access
- closed
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