The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
Open accessAbstract
In the recent year, state-of-the-art for facial micro-expression recognition have been significantly advanced by deep neural networks. The robustness of deep learning has yielded promising performance beyond that of traditional handcrafted approaches. Most works in literature emphasized on increasing the depth of networks and employing highly complex objective functions to learn more features. In this paper, we design a Shallow Triple Stream Three-dimensional CNN (STSTNet) that is computationally light whilst capable of extracting discriminative high level features and details of micro-expressions. The network learns from three optical flow features (i.e., optical strain, horizontal and vertical optical flow fields) computed based on the onset and apex frames of each video. Our experimental results demonstrate the effectiveness of the proposed STSTNet, which obtained an unweighted average recall rate of 0.7605 and unweighted F1-score of 0.7353 on the composite database consisting of 442 samples from the SMIC, CASME II and SAMM databases.
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Cites
Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298594 · Cited by 48,562
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
Constants across cultures in the face and emotion.
Ekman, P., & Friesen, W. V. (1971) · Journal of Personality and Social Psychology · doi:10.1037/h0030377 · Cited by 5,509
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
CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation
Yan, W.-J., Li, X., Wang, S.-J., Zhao, G., Liu, Y.-J., Chen, Y.-H., & Fu, X. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086041 · Cited by 993
A Spontaneous Micro-expression Database: Inducement, collection and baseline
Li, X., Pfister, T., Huang, X., Zhao, G., & Pietikainen, M. (2013) · 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) · doi:10.1109/fg.2013.6553717 · Cited by 665
A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition
Liu, Y.-J., Zhang, J.-K., Yan, W.-J., Wang, S.-J., Zhao, G., & Fu, X. (2016) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2485205 · Cited by 520
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
Recognising spontaneous facial micro-expressions
Pfister, T., Li, X., Zhao, G., & Pietikainen, M. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126401 · Cited by 450
Less is more: Micro-expression recognition from video using apex frame
Liong, S.-T., See, J., Wong, K., & Phan, R. C.-W. (2018) · Signal Processing: Image Communication · doi:10.1016/j.image.2017.11.006 · Cited by 394
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Metadata
- Authors
- Liong, S.-T., Gan, Y. S., See, J., Khor, H.-Q., & Huang, Y.-C.
- Venue
- 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)
- Publisher
- IEEE
- Published
- 2019-05
- Pages
- 1-5
- ISSN
- 1541-5058 (ISSN-L)
- OpenAlex
- W2911617386
- Cited by
- 253
- References
- 26
- FWCI
- 17.79
- Type
- conference paper
- Language
- en
- Open access
- green
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- Liong, S.-T., Gan, Y. S., See, J., Khor, H.-Q., & Huang, Y.-C. (2019). Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition. 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019). https://doi.org/10.1109/fg.2019.8756567
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