The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Face Detection Based on Multi-Block LBP Representation
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Cites
Rapid object detection using a boosted cascade of simple features
Viola, P., & Jones, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990517 · Cited by 18,300
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
A comparative study of texture measures with classification based on featured distributions
Ojala, T., Pietikäinen, M., & Harwood, D. (1996) · Pattern Recognition · doi:10.1016/0031-3203(95)00067-4 · Cited by 6,882
2008 IEEE Conference on Computer Vision and Pattern Recognition
(2008) · doi:10.1109/cvpr12618.2008 · Cited by 4,212
Neural network-based face detection
Rowley, H. A., Baluja, S., & Kanade, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.655647 · Cited by 3,554
An extended set of Haar-like features for rapid object detection
Lienhart, R., & Maydt, J. (2003) · Proceedings. International Conference on Image Processing · doi:10.1109/icip.2002.1038171 · Cited by 2,977 · cited 1×
“Many other features are also proposed to represent facial images, including rotated Haar-like features [6], census transform [3], sparse features [4], etc.”
BackgroundTraining support vector machines: an application to face detection
Osuna, E., Freund, R., & Girosit, F. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609310 · Cited by 2,486
Neural Networks: Tricks of the Trade: Second Edition
(2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35289-8 · Cited by 2,116
Face detection with the modified census transform
Froba, B., & Ernst, A. (2004) · Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings. · doi:10.1109/afgr.2004.1301514 · Cited by 441
Statistical Learning of Multi-view Face Detection
Li, S. Z., Zhu, L., Zhang, Z., Blake, A., Zhang, H., & Shum, H. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47979-1_5 · Cited by 398
Self-citation
Cited by
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Wen, L., Du, D., Cai, Z., Lei, Z., Chang, M.-C., Qi, H., Lim, J., Yang, M.-H., & Lyu, S. (2020) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2020.102907 · Cited by 804
A survey on face detection in the wild: Past, present and future
Zafeiriou, S., Zhang, C., & Zhang, Z. (2015) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2015.03.015 · Cited by 458
Local binary features for texture classification: Taxonomy and experimental study
Liu, L., Fieguth, P., Guo, Y., Wang, X., & Pietikäinen, M. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2016.08.032 · Cited by 369
A Fast and Accurate Unconstrained Face Detector
Liao, S., Jain, A. K., & Li, S. Z. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2448075 · Cited by 294
Self-citationHao, Z., Liu, Y., Qin, H., Yan, J., Li, X., & Hu, X. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.207 · Cited by 134
Metadata
- Authors
- Zhang, L., Chu, R., Xiang, S., Liao, S., & Li, S. Z.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007-08-29
- Pages
- 11-18
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1825459403
- Cited by
- 395
- References
- 16
- FWCI
- 9.85
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- The paper
- Zhang, L., Chu, R., Xiang, S., Liao, S., & Li, S. Z. (2007). Face Detection Based on Multi-Block LBP Representation. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-74549-5_2
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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.