The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Spatial-Depth Super Resolution for Range Images
Abstract
We present a new post-processing step to enhance the resolution of range images. Using one or two registered and potentially high-resolution color images as reference, we iteratively refine the input low-resolution range image, in terms of both its spatial resolution and depth precision. Evaluation using the Middlebury benchmark shows across-the-board improvement for sub-pixel accuracy. We also demonstrated its effectiveness for spatial resolution enhancement up to 100 times with a single reference image.
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Citations
Cites
Bilateral Filtering for Gray and Color Images
Tomasi, C., & Manduchi, R. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710815 · Cited by 8,177 · cited 1×
“Key to our success is the use of a bilateral filter [17], inspired by several state-of-the-art stereo algorithms [3, 18, 19].”
Method
Cited by
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Ledig, C., Theis, L., Huszar, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.19 · Cited by 12,696
Uhrig, J., Schneider, N., Schneider, L., Franke, U., Brox, T., & Geiger, A. (2017) · 2017 International Conference on 3D Vision (3DV) · doi:10.1109/3dv.2017.00012 · Cited by 924
Bilateral Filtering: Theory and Applications
Paris, S., Kornprobst, P., Tumblin, J., & Durand, F. (2009) · Foundations and Trends in Computer Graphics and Vision · doi:10.1561/0600000020 · Cited by 586
Depth synthesis and local warps for plausible image-based navigation
Chaurasia, G., Duchene, S., Sorkine-Hornung, O., & Drettakis, G. (2013) · ACM Transactions on Graphics · doi:10.1145/2487228.2487238 · Cited by 357
Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model
Yang, J., Ye, X., Li, K., Hou, C., & Wang, Y. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2329776 · Cited by 310
Metadata
- Authors
- Yang, Q., Yang, R., Davis, J., & Nister, D.
- Venue
- 2007 IEEE Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE
- Published
- 2007-06
- Pages
- 1-8
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2104599718
- Cited by
- 745
- References
- 1
- FWCI
- 23.54
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Yang, Q., Yang, R., Davis, J., & Nister, D. (2007). Spatial-Depth Super Resolution for Range Images. 2007 IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2007.383211
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
