Taheri et al., 2014 - Google Patents
Structure-preserving sparse decomposition for facial expression analysisTaheri et al., 2014
- Document ID
- 12682655106895011486
- Author
- Taheri S
- Qiu Q
- Chellappa R
- Publication year
- Publication venue
- IEEE Transactions on Image Processing
External Links
Snippet
Although facial expressions can be decomposed in terms of action units (AUs) as suggested by the facial action coding system, there have been only a few attempts that recognize expression using AUs and their composition rules. In this paper, we propose a dictionary …
- 230000001815 facial 0 title abstract description 63
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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