The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Variational Light Field Analysis for Disparity Estimation and Super-Resolution
Abstract
We develop a continuous framework for the analysis of 4D light fields, and describe novel variational methods for disparity reconstruction as well as spatial and angular super-resolution. Disparity maps are estimated locally using epipolar plane image analysis without the need for expensive matching cost minimization. The method works fast and with inherent subpixel accuracy since no discretization of the disparity space is necessary. In a variational framework, we employ the disparity maps to generate super-resolved novel views of a scene, which corresponds to increasing the sampling rate of the 4D light field in spatial as well as angular direction. In contrast to previous work, we formulate the problem of view synthesis as a continuous inverse problem, which allows us to correctly take into account foreshortening effects caused by scene geometry transformations. All optimization problems are solved with state-of-the-art convex relaxation techniques. We test our algorithms on a number of real-world examples as well as our new benchmark data set for light fields, and compare results to a multiview stereo method. The proposed method is both faster as well as more accurate. Data sets and source code are provided online for additional evaluation.
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Cites
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Beck, A., & Teboulle, M. (2009) · SIAM Journal on Imaging Sciences · doi:10.1137/080716542 · Cited by 11,952
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chambolle (2004) · doi:10.1023/b:jmiv.0000011321.19549.88 · Cited by 3,227
Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
Wang, Z., & Bovik, A. C. (2009) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.930649 · Cited by 3,175
Gortler, S. J., Grzeszczuk, R., Szeliski, R., & Cohen, M. F. (1996) · Proceedings of the 23rd annual conference on Computer graphics and interactive techniques · doi:10.1145/237170.237200 · Cited by 2,458
Light Field Photography with a Hand-held Plenoptic Camera
Ng, R., Levoy, M., Brédif, M., Duval, G., Horowitz, M., & Hanrahan, P. (2005) · HAL · Cited by 1,749
The Plenoptic Function and the Elements of Early Vision
Adelson, E. H., & Bergen, J. R. (1991) · Computational Models of Visual Processing · doi:10.7551/mitpress/2002.003.0004 · Cited by 1,515
Plenoptic modeling: an image-based rendering system
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Limits on super-resolution and how to break them
Baker, S., & Kanade, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1033210 · Cited by 1,205
Limits on super-resolution and how to break them
Baker, S., & Kanade, T. (2002) · Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) · doi:10.1109/cvpr.2000.854852 · Cited by 1,184
Cited by
Light Field Image Processing: An Overview
Wu, G., Masia, B., Jarabo, A., Zhang, Y., Wang, L., Dai, Q., Chai, T., & Liu, Y. (2017) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2017.2747126 · Cited by 586
Shin, C., Jeon, H.-G., Yoon, Y., Kweon, I. S., & Kim, S. J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00499 · Cited by 319
Lu, H., Li, Y., Uemura, T., Kim, H., & Serikawa, S. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.01.001 · Cited by 290
Metadata
- Authors
- Wanner, S., & Goldluecke, B.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2014-03
- Volume
- 36
- Issue
- 3
- Pages
- 606-619
- ISSN
- 0162-8828 (ISSN-L)
- 2160-9292
- OpenAlex
- W2042687553
- Cited by
- 615
- References
- 23
- FWCI
- 34.20
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
