The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Structure from stereo-a review
Abstract
The authors review major recent developments in establishing stereo correspondence for the extraction of the 3D structure of a scene. Broad categories of stereo algorithms are identified on the basis of differences in imaging geometry, matching primitives, and the computational structure used. The performance of these stereo techniques on various classes of test images is reviewed, and possible directions of future research are indicated.>
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Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
Ballard, D. H., & Brown, C. M. (1982) · Cited by 5,303
(1982) · Elsevier eBooks · doi:10.1016/c2009-0-21955-6 · Cited by 4,596
Simulated Annealing: Theory and Applications
van Laarhoven, P. J. M., & Aarts, E. H. L. (1987) · Springer eBooks · doi:10.1007/978-94-015-7744-1 · Cited by 2,385
A computational theory of human stereo vision
Marr, D., & Poggio, T. (1979) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1979.0029 · Cited by 1,801
Hillis, W. D. (1987) · Scientific American · doi:10.1038/scientificamerican0687-108 · Cited by 1,635
Computational vision and regularization theory
Poggio, T., Torre, V., & Koch, C. (1985) · Nature · doi:10.1038/317314a0 · Cited by 1,412
Scene Labeling by Relaxation Operations
Rosenfeld, A., Hummel, R. A., & Zucker, S. W. (1976) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1976.4309519 · Cited by 1,399
Marr, D., & Poggio, T. (1976) · Science · doi:10.1126/science.968482 · Cited by 1,377
Cited by
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
Scharstein, D., & Szeliski, R. (2002) · International Journal of Computer Vision · doi:10.1023/a:1014573219977 · Cited by 6,740
Non-parametric local transforms for computing visual correspondence
Zabih, R., & Woodfill, J. (1994) · Lecture Notes in Computer Science · doi:10.1007/bfb0028345 · Cited by 1,763
A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
Scharstein, D., Szeliski, R., & Zabih, R. (2002) · Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001) · doi:10.1109/smbv.2001.988771 · Cited by 1,084
Image‐based 3D Modelling: A Review
Remondino, F., & El‐Hakim, S. (2006) · The Photogrammetric Record · doi:10.1111/j.1477-9730.2006.00383.x · Cited by 1,019
Status, challenges, and future perspectives of fringe projection profilometry
Xu, J., & Zhang, S. (2020) · Optics and Lasers in Engineering · doi:10.1016/j.optlaseng.2020.106193 · Cited by 469
Metadata
- Authors
- Dhond, U. R., & Aggarwal, J. K.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics
- Published
- 1989
- Volume
- 19
- Issue
- 6
- Pages
- 1489-1510
- ISSN
- 0018-9472 (ISSN-L)
- OpenAlex
- W2050405342
- Cited by
- 867
- References
- 43
- FWCI
- 12.00
- 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.
