| 2017 2nd International Seminar on Advances in Materials Science and Engineering | |
| A study on facial expressions recognition | |
| Xu, Jingjing^1 | |
| School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai | |
| 264209, China^1 | |
| 关键词: Face alignment; Face landmarks; Facial Expressions; Facial expressions recognition; Facial landmark; Facial landmark detection; Pose estimation; Robust statistics; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/231/1/012001/pdf DOI : 10.1088/1757-899X/231/1/012001 |
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| 来源: IOP | |
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【 摘 要 】
In terms of communication, postures and facial expressions of such feelings like happiness, anger and sadness play important roles in conveying information. With the development of the technology, recently a number of algorithms dealing with face alignment, face landmark detection, classification, facial landmark localization and pose estimation have been put forward. However, there are a lot of challenges and problems need to be fixed. In this paper, a few technologies have been concluded and analyzed, and they all relate to handling facial expressions recognition and poses like pose-indexed based multi-view method for face alignment, robust facial landmark detection under significant head pose and occlusion, partitioning the input domain for classification, robust statistics face formalization.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| A study on facial expressions recognition | 232KB |
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