The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Robust facial expression recognition using local binary patterns
Abstract
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach is based on the simple local binary patterns (LBP) for representing salient micro-patterns of face images. Compared to Gabor wavelets, the LBP features can be extracted faster in a single scan through the raw image and lie in a lower dimensional space, whilst still retaining facial information efficiently. Template matching with weighted Chi square statistic and support vector machine are adopted to classify facial expressions. Extensive experiments on the Cohn-Kanade Database illustrate that the LBP features are effective and efficient for facial expression discrimination. Additionally, experiments on face images with different resolutions show that the LBP features are robust to low-resolution images, which is critical in real-world applications where only low-resolution video input is available.
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Cites
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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
A comparative study of texture measures with classification based on featured distributions
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Comprehensive database for facial expression analysis
Kanade, T., Cohn, J. F., & Tian, Y. (2002) · Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580) · doi:10.1109/afgr.2000.840611 · Cited by 2,591
Face Recognition with Local Binary Patterns
Ahonen, T., Hadid, A., & Pietikäinen, M. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24670-1_36 · Cited by 2,462
Automatic facial expression analysis: a survey
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Automatic classification of single facial images
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Facial expression recognition from video sequences: temporal and static modeling
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Cited by
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
Zhao, G., & Pietikainen, M. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1110 · Cited by 2,846
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Shan, C., Gong, S., & McOwan, P. W. (2009) · Image and Vision Computing · doi:10.1016/j.imavis.2008.08.005 · Cited by 2,300
Self-citationLocal Binary Patterns and Its Application to Facial Image Analysis: A Survey
Huang, D., Shan, C., Ardabilian, M., Wang, Y., & Chen, L. (2011) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2011.2118750 · Cited by 905
Self-citationAutomatic facial expression recognition using features of salient facial patches
Happy, S. L., & Routray, A. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2014.2386334 · Cited by 599
Facial expression recognition using radial encoding of local Gabor features and classifier synthesis
Gu, W., Xiang, C., Venkatesh, Y. V., Huang, D., & Lin, H. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2011.05.006 · Cited by 311
Metadata
- Authors
- Shan, C., Gong, S., & McOwan, P. W.
- Venue
- IEEE International Conference on Image Processing 2005
- Publisher
- IEEE
- Published
- 2005
- Pages
- II-370
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2108113956
- Cited by
- 414
- References
- 16
- FWCI
- 8.60
- Type
- conference paper
- Language
- en
- Open access
- closed
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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).
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