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| Emotion Recognition from Eye Region Signals using Local Binary Patterns | |
| Jain;Gaurav | |
| 出版年 | 2011 |
| 英文摘要 | Automated facial expression analysis for Emotion Recognition (ER) is an active research area towards creating socially intelligent systems. The eye region, often considered integral for ER by psychologists and neuroscientists, has received very little attention in engineering and computer sciences. Using eye region as an input signal presents several bene ts for low-cost, non-intrusive ER applications. This work proposes two frameworks towards ER from eye region images. The first framework uses Local Binary Patterns (LBP) as the feature extractor on grayscale eye region images. The results validate the eye region as a signi cant contributor towards communicating the emotion in the face by achieving high person-dependent accuracy. The system is also able to generalize well across di erent environment conditions. In the second proposed framework, a color-based approach to ER from the eye region is explored using Local Color Vector Binary Patterns (LCVBP). LCVBP extend the traditional LBP by incorporating color information extracting a rich and a highly discriminative feature set, thereby providing promising results. |
| 英文关键词 | Emotion Recognition Eye Region Local Binary Patterns Implicit Tagging of Multimedia Content Facial Expression Recognition 0544 |
| 语种 | 英语 |
| URL | http://hdl.handle.net/1807/30639 |
| 资源类型 | 学位论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/245981 |
| 推荐引用方式 GB/T 7714 | Jain;Gaurav. Emotion Recognition from Eye Region Signals using Local Binary Patterns[D],2011. |
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