The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Fast Normalized Cross-Correlation
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Citations
Cites
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Digital Image Processing: PIKS Inside
Pratt, W. K. (2002) · Wiley eBooks · doi:10.1002/0471221325 · Cited by 4,340
Pattern classification and scene analysis
Chien, Y. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100577 · Cited by 3,398
Fast Normalized Cross-Correlation
Lewis, J. P. (2010) · Cited by 737
Fast normalized cross correlation for defect detection
Tsai, D.-M., & Lin, C.-T. (2003) · Pattern Recognition Letters · doi:10.1016/s0167-8655(03)00106-5 · Cited by 279
Fast object recognition in noisy images using simulated annealing
Betke, M., & Makris, N. C. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1995.466895 · Cited by 93
A fast algorithm for large vocabulary keyword spotting application
Huang, E.-F., Wang, H.-C., & Soong, F. K. (1994) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.294361 · Cited by 12
Face recognition based on ordinal correlation
Tjahyadi, R., Liu, W., An, S., & Venkatesh, S. (2007) · International Journal of Intelligent Systems Technologies and Applications · doi:10.1504/ijista.2007.014261 · Cited by 7
Cited by
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving
Bresson, G., Alsayed, Z., Yu, L., & Glaser, S. (2017) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2017.2749181 · Cited by 885
Robust real-time periodic motion detection, analysis, and applications
Cutler, R., & Davis, L. S. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868681 · Cited by 696
Optical flow modeling and computation: A survey
Fortun, D., Bouthemy, P., & Kervrann, C. (2015) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2015.02.008 · Cited by 431
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction
Liu, R., Shen, J., Wang, H., Chen, C., Cheung, S.-C., & Asari, V. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00511 · Cited by 266
Kim, D. H., Baddar, W. J., Jang, J., & Ro, Y. M. (2019) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2695999 · Cited by 257
Metadata
- Authors
- Yoo, J.-C., & Han, T. H.
- Venue
- Circuits, Systems and Signal Processing
- Published
- 2009-08-22
- Volume
- 28
- Issue
- 6
- Pages
- 819-843
- ISSN
- 0278-081X (ISSN-L)
- 1531-5878
- OpenAlex
- W2041812800
- Cited by
- 1,115
- References
- 8
- FWCI
- 67.37
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fast Normalized Cross-Correlation. https://app.cochat.ai/papers/10.1007/s00034-009-9130-7
- The paper
- Yoo, J.-C., & Han, T. H. (2009). Fast Normalized Cross-Correlation. Circuits, Systems and Signal Processing. https://doi.org/10.1007/s00034-009-9130-7
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.
