The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.
Review of stereo vision algorithms and their suitability for resource-limited systems
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Citations
Cites
Fast approximate energy minimization via graph cuts
Boykov, Y., Veksler, O., & Zabih, R. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.969114 · Cited by 6,988
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
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(2001) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR 2001 CVPR-01 · doi:10.1109/cvpr.2001.990916 · Cited by 1,876
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
Hirschmuller, H. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.56 · Cited by 1,698
High-quality video view interpolation using a layered representation
Zitnick, C. L., Kang, S. B., Uyttendaele, M., Winder, S., & Szeliski, R. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015766 · Cited by 1,385
Vision for mobile robot navigation: a survey
Desouza, G. N., & Kak, A. C. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.982903 · Cited by 1,357
Efficient Belief Propagation for Early Vision
Felzenszwalb, P. F., & Huttenlocher, D. P. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-7899-4 · Cited by 1,345
Adaptive support-weight approach for correspondence search
Yoon, K.-J., & Kweon, I. S. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.70 · Cited by 1,194
Advances in computational stereo
Brown, M. Z., Burschka, D., & Hager, G. D. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1217603 · Cited by 1,132
Computing visual correspondence with occlusions using graph cuts
Kolmogorov, V., & Zabih, R. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937668 · Cited by 1,119
Metadata
- Authors
- Tippetts, B., Lee, D. J., Lillywhite, K., & Archibald, J.
- Venue
- Journal of Real-Time Image Processing
- Published
- 2013-01-18
- Volume
- 11
- Issue
- 1
- Pages
- 5-25
- ISSN
- 1861-8200 (ISSN-L)
- 1861-8219
- OpenAlex
- W2006943762
- Cited by
- 274
- References
- 98
- FWCI
- 13.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Review of stereo vision algorithms and their suitability for resource-limited systems. https://app.cochat.ai/papers/10.1007/s11554-012-0313-2
- The paper
- Tippetts, B., Lee, D. J., Lillywhite, K., & Archibald, J. (2016). Review of stereo vision algorithms and their suitability for resource-limited systems. Journal of Real-Time Image Processing. https://doi.org/10.1007/s11554-012-0313-2
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.