The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor
Open accessAbstract
This paper proposes a novel high-order local pattern descriptor, local derivative pattern (LDP), for face recognition. LDP is a general framework to encode directional pattern features based on local derivative variations. The n(th)-order LDP is proposed to encode the (n-1)(th) -order local derivative direction variations, which can capture more detailed information than the first-order local pattern used in local binary pattern (LBP). Different from LBP encoding the relationship between the central point and its neighbors, the LDP templates extract high-order local information by encoding various distinctive spatial relationships contained in a given local region. Both gray-level images and Gabor feature images are used to evaluate the comparative performances of LDP and LBP. Extensive experimental results on FERET, CAS-PEAL, CMU-PIE, Extended Yale B, and FRGC databases show that the high-order LDP consistently performs much better than LBP for both face identification and face verification under various conditions.
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Cites
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
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
Cited by
Local Directional Number Pattern for Face Analysis: Face and Expression Recognition
Ramirez Rivera, A., Rojas Castillo, J., & Oksam Chae, O. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2235848 · Cited by 512
Luan, S., Chen, C., Zhang, B., Han, J., & Liu, J. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2835143 · Cited by 428
Self-citationLocal 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
Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person
Lu, J., Tan, Y.-P., & Wang, G. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.70 · Cited by 334
Survey on LBP based texture descriptors for image classification
Nanni, L., Lumini, A., & Brahnam, S. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.09.054 · Cited by 260
Metadata
- Authors
- Zhang, B., Gao, Y., Zhao, S., & Liu, J.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2010-02
- Volume
- 19
- Issue
- 2
- Pages
- 533-544
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2097777575
- Cited by
- 1,024
- References
- 3
- FWCI
- 30.42
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, B., Gao, Y., Zhao, S., & Liu, J. (2010). Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor. IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2009.2035882
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