The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Symmetry-driven accumulation of local features for human characterization and re-identification
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SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955
Sequential Monte Carlo Methods in Practice
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Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560
Robust wide-baseline stereo from maximally stable extremal regions
Matas, J., Chum, O., Urban, M., & Pajdla, T. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2004.02.006 · Cited by 3,686
Kalal, Z., Mikolajczyk, K., & Matas, J. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.239 · Cited by 3,285
Pictorial Structures for Object Recognition
Felzenszwalb, P. F., & Huttenlocher, D. P. (2005) · International Journal of Computer Vision · doi:10.1023/b:visi.0000042934.15159.49 · Cited by 2,180
Unsupervised learning of finite mixture models
Figueiredo, M. A. T., & Jain, A. K. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.990138 · Cited by 2,125
Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation
Zhu, S. C., & Yuille, A. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.537343 · Cited by 1,913
The Divergence and Bhattacharyya Distance Measures in Signal Selection
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Cited by
Person re-identification by Local Maximal Occurrence representation and metric learning
Liao, S., Hu, Y., Zhu, X., & Li, S. Z. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298832 · Cited by 2,091
A survey of approaches and trends in person re-identification
Bedagkar-Gala, A., & Shah, S. K. (2014) · Image and Vision Computing · doi:10.1016/j.imavis.2014.02.001 · Cited by 420
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques
Li, P., Prieto, L., Mery, D., & Flynn, P. J. (2019) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2890812 · Cited by 171
Unsupervised person re-identification with multi-label learning guided self-paced clustering
Li, Q., Peng, X., Qiao, Y., & Hao, Q. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.108521 · Cited by 35
Metadata
- Authors
- Bazzani, L., Cristani, M., & Murino, V.
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 117
- Issue
- 2
- Pages
- 130-144
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2029287185
- Cited by
- 295
- References
- 70
- FWCI
- 25.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bazzani, L., Cristani, M., & Murino, V. (2013). Symmetry-driven accumulation of local features for human characterization and re-identification. Computer Vision and Image Understanding. https://doi.org/10.1016/j.cviu.2012.10.008
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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.