Name
Abstract | ||
|---|---|---|
In human-human communication we use verbal, vocal and non-verbal signals to communicate with others. Facial expressions are a form of non-verbal communication, recognizing them helps to improve the human-machine interaction. This paper proposes a system for pose-and illumination-invariant recognition of facial expressions using near-infrared camera images and precise 3D shape registration. Precise 3D shape information of the human face can be computed by means of Constrained Local Models (CLM), which fits a dense model to an unseen image in an iterative manner. We used a multi-class SVM to classify the acquired 3D shape into different emotion categories. Results surpassed human performance and show pose-invariant performance. Varying lighting conditions can influence the fitting process and reduce the recognition precision. We built a near-infrared and visible light camera array to test the method with different illuminations. Results shows that the near-infrared camera configuration is suitable for robust and reliable facial expression recognition with changing lighting conditions. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.20965/jaciii.2012.p0341 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
emotion recognition, 3D face tracking, near infrared camera, constrained local models | Computer vision,Three-dimensional face recognition,Facial expression recognition,Pattern recognition,Computer science,Emotion recognition,Support vector machine,Nonverbal communication,Camera array,Facial expression,Artificial intelligence | Journal |
Volume | Issue | ISSN |
16 | 2 | 1343-0130 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| László A. Jeni | 1 | 235 | 16.45 |
| Hideki Hashimoto | 2 | 0 | 0.34 |
| Takashi Kubota | 3 | 36 | 16.92 |