Fast and Robust Smile Intensity Estimation by Cascaded Support Vector Machines
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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 · see citing works
Ekman, P., & Friesen, W. V. (1975) · Cited by 3,569 · see citing works
Training support vector machines: an application to face detection
Osuna, E., Freund, R. M., & Girosi, F. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1997.609310 · Cited by 2,481 · see citing works
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(2001) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2001.990916 · Cited by 1,884 · see citing works
Automatic facial expression analysis: a survey
Fasel, B., & Luettin, J. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00052-3 · Cited by 1,810 · see citing works
Description of interest regions with local binary patterns
Heikkilä, M., Pietikäinen, M., & Schmid, C. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.08.014 · Cited by 1,213 · see citing works
Toward Practical Smile Detection
Whitehill, J., Littlewort, G. C., Fasel, I., Bartlett, M. S., & Movellan, J. R. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.42 · Cited by 310 · see citing works
Smile Detection for User Interfaces
Déniz, Ó., Castrillón-Santana, M., Lorenzo-Navarro, J., Anton, L., & Bueno, G. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-89646-3_59 · Cited by 33 · see citing works
Detection of Driver's Face Orientation for Safety Driving Assistance
Shimada, K., Noguchi, Y., Sasahara, H., Yamamoto, M., & Tamegai, H. (2010) · Medical Entomology and Zoology · Cited by 5 · see citing works
Self-citation
Flagged first, then by citations
1 of the 10 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Corneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527 · see citing works
“Usually we talk about AU intensity estimation, but significant works in estimating intensity of pain [49], [231] or smile [243], [244] also exist.”
BackgroundEstimating smile intensity: A better way
Girard, J. M., Cohn, J. F., & De la Torre, F. (2015) · Pattern Recognition Letters · doi:10.1016/j.patrec.2014.10.004 · Cited by 44 · see citing works
Positive/Negative Emotion Detection from RGB-D Upper Body Images
Ballihi, L., Lablack, A., Amor, B. B., Bilasco, I. M., & Daoudi, M. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-13737-7_10 · Cited by 10 · see citing works
“Many studies have used classifier margins and posterior probabilities to estimate expression intensity without evaluating their performance to the ground truth [26, 22].”
BackgroundAutomatic Detection and Intensity Estimation of Spontaneous Smiles
Girard, J. M. (2014) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 9 · see citing works
Luo, Z., Jin, X., Luo, Y., Zhou, Q., & Luo, X. (2025) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2024.125016 · Cited by 5 · see citing works
Modeling and synthesis of kinship patterns of facial expressions
Ertuğrul, I. Ö., Jeni, L. A., & Dibeklioğlu, H. (2018) · Image and Vision Computing · doi:10.1016/j.imavis.2018.09.012 · Cited by 5 · see citing works
“Many studies [48-52] have used classifier decision values as estimates of expression intensity.”
MethodSmile Intensity Detection in Multiparty Interaction using Deep Learning
Witzig, P., Kennedy, J., & Segalin, C. (2019) · International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) · doi:10.1109/aciiw.2019.8925261 · Cited by 3 · see citing works
“Several other approaches using SVMs and Viola-Jones classifiers have also been developed [4], [33].”
MethodSemantic analisis on faces using deep neural networks
Pellejero, N. (2018) · INTELIGENCIA ARTIFICIAL · doi:10.4114/intartif.vol21iss61pp14-29 · Cited by 1 · see citing works
A Profile Monitoring of Visitors using Image Recognition
NOGUCHI, Y., SHIMADA, K., PERERA, M., & Kurita, T. (2014) · Journal of the Japan Society for Precision Engineering · doi:10.2493/jjspe.80.89
Self-citation
- Authors
- Shimada, K., Noguchi, Y., & Kuria, T.
- Venue
- International Journal of Computer Theory and Engineering
- Publisher
- IACSIT Press
- Published
- 2013
- Pages
- 24-30
- ISSN
- 1793-8201 (ISSN-L)
- OpenAlex
- W2323806333
- Cited by
- 9
- References
- 10
- Citations by year
- 2025: 1 · 2019: 1 · 2018: 2 · 2016: 1 · 2015: 1 · 2014: 3
- FWCI
- 2.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Computer Theory and Engineering (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (23500211)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- facial expression analysis, support vector machine, cascade classifier, robust estimation
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