Face expression recognition system based on ripplet transform type II and least square SVM
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Lucey, P., Cohn, J. F., Kanade, T., Saragih, J., Ambadar, Z., & Matthews, I. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops · doi:10.1109/cvprw.2010.5543262 · Cited by 4,303 · see citing works
Martinez, A. M., & Kak, A. C. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.908974 · Cited by 3,249 · see citing works
Facial Expression Recognition Using Facial Movement Features
Zhang, L., & Tjondronegoro, D. (2011) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.13 · Cited by 253 · see citing works
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Sorted by citations
Facial Sentiment Analysis Using AI Techniques: State-of-the-Art, Taxonomies, and Challenges
Patel, K., Mehta, D., Mistry, C., Gupta, R., Tanwar, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2993803 · Cited by 157 · see citing works
SAFER: Situation Aware Facial Emotion Recognition
Palash, M., & Bhargava, B. (2023) · arXiv · doi:10.48550/arxiv.2306.09372 · Cited by 2 · see citing works
“Various techniques have been proposed for this task, such as the Viola-Jones method [10, 11], the combination of PCA and Viola-Jones [12], and the Haar Cascades method [13].”
Method
- Authors
- Kar, N. B., Babu, K. S., Sangaiah, A. K., & Bakshi, S.
- Affiliations
- National Institute of Technology Rourkela (IN)
- Vellore Institute of Technology University (IN)
- Corresponding author
- Kar, Nikunja Bihari
- Venue
- Multimedia Tools and Applications
- Published
- 2017-12-26
- Volume
- 78
- Issue
- 4
- Pages
- 4789-4812
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W2779238497
- Cited by
- 51
- References
- 3
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 8 · 2022: 9 · 2021: 8 · 2020: 12 · 2019: 5 · 2018: 3
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Multimedia Tools and Applications (publishedVersion)
- Funders
- Fund for Improvement of S&T Infrastructure in Universities and Higher Educational Institutions (FIST) Program 2016, Department of Science and Technology, Government of India (ETI/359/2014)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- facial expression recognition, least squares support vector machine, Gaussian kernel, feature extraction, principal component analysis, linear discriminant analysis, Cohn-Kanade dataset, JAFFE database
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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