The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Recent progress in coded structured light as a technique to solve the correspondence problem
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Cites
Haralock, R. M., & Shapiro, L. G. (1991) · Addison-Wesley Longman Publishing Co., Inc. eBooks · Cited by 3,933
Three-dimensional computer vision: a geometric viewpoint
(1994) · Choice Reviews Online · doi:10.5860/choice.32-0357 · Cited by 3,030
Computer vision and pattern recognition
Zheng, N., Loizou, G., Jiang, X., Lan, X., & Li, X. (2007) · International Journal of Computer Mathematics · doi:10.1080/00207160701303912 · Cited by 2,463
Haralick, R. M., & Shapiro, L. G. (1985) · Computer Vision, Graphics, and Image Processing · doi:10.1016/s0734-189x(85)90153-7 · Cited by 2,253
Three-Dimensional Computer Vision
Faugeras, O. D. (1993) · Cumulative Index of Computer Aided Architectural Design · Cited by 1,209
A Perspective on Range Finding Techniques for Computer Vision
Jarvis, R. A. (1983) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1983.4767365 · Cited by 782
Barnard, S. T., & Fischler, M. A. (1982) · ACM Computing Surveys · doi:10.1145/356893.356896 · Cited by 713
Active, optical range imaging sensors
Besl, P. J. (1988) · Machine Vision and Applications · doi:10.1007/bf01212277 · Cited by 559
Invariant surface characteristics for 3D object recognition in range images
Besl, P. J., & Jain, R. C. (1986) · Computer Vision, Graphics, and Image Processing · doi:10.1016/0734-189x(86)90220-3 · Cited by 515
Segmentation and Classification of Range Images
Hoffman, R., & Jain, A. K. (1987) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1987.4767955 · Cited by 418
Cited by
High-accuracy stereo depth maps using structured light
Scharstein, D., & Szeliski, R. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. · doi:10.1109/cvpr.2003.1211354 · Cited by 1,542
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
Scharstein, D., Hirschmüller, H., Kitajima, Y., Krathwohl, G., Nešić, N., Wang, X., & Westling, P. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-11752-2_3 · Cited by 1,305
Pattern codification strategies in structured light systems
Salvi, J., Pagès, J., & Batlle, J. (2004) · Pattern Recognition · doi:10.1016/j.patcog.2003.10.002 · Cited by 1,110
Self-citationSpatial-Depth Super Resolution for Range Images
Yang, Q., Yang, R., Davis, J., & Nister, D. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383211 · Cited by 745
Metadata
- Authors
- Batlle, J., Mouaddib, E., & Salvi, J.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 1998-07
- Volume
- 31
- Issue
- 7
- Pages
- 963-982
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2028542749
- Cited by
- 400
- References
- 26
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Recent progress in coded structured light as a technique to solve the correspondence problem. https://app.cochat.ai/papers/10.1016/s0031-3203(97)00074-5
- The paper
- Batlle, J., Mouaddib, E., & Salvi, J. (1998). Recent progress in coded structured light as a technique to solve the correspondence problem. Pattern Recognition. https://doi.org/10.1016/s0031-3203(97)00074-5
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.
