Name
Title | ||
|---|---|---|
Mouth and eyebrow segmentation for emotion recognition using interpolated polynomials. |
Abstract | ||
|---|---|---|
Facial Expression Recognition (FER) is a research area that has been interesting for computer science community in recent years. In this paper, we propose a methodology for the three stages of a FER system. In the pre-processing stage a method based on edge detectors and thresholding operators for eyebrow and mouth segmentation is proposed; the next stage is feature extraction, we propose using polynomials as features for describing eyebrows and mouth regions. Finally, in classification stage different supervised learners such as: Neural Networks, K-Nearest Neighbors and C4.5 decision trees are tested in order to obtain a model for classifying three out of six basic emotions (anger, happiness and surprise). According to our results, the proposed approach has acceptable accuracy for predicting new examples. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3233/JIFS-169496 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Expression recognition,face images pre-processing,supervised classification,interpolation features | Polynomial,Emotion recognition,Segmentation,Interpolation,Eyebrow,Speech recognition,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
34 | 5 | 1064-1246 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jesús García-Ramírez | 1 | 0 | 0.34 |
| J. Arturo Olvera-López | 2 | 120 | 5.61 |
| Iván Olmos Pineda | 3 | 0 | 2.37 |
| Manuel Martín Ortiz | 4 | 8 | 4.71 |