Using Kinect for Facial Expression Recognition under Varying Poses and Illumination
Using Kinect for Facial Expression Recognition under Varying Poses and Illumination
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DOI：
10.1007/978-3-319-09912-5_33
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发表时间：
2014-08
期刊：
影响因子：
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通讯作者：
F. Malawski;B. Kwolek;Shinji Sako
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文献类型：
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作者：
F. Malawski;B. Kwolek;Shinji Sako
通过前置摄像头的智能手机进行情绪分析和识别是一个相对较新的概念。在本文中，我们提出了一种算法，使用低分辨率的三维传感器的面部表情识别。使用Face Tracking SDK确定3D头部姿势以及基准点的3D位置。从由这些面部标志之间的所有可能的线段确定的池中自动选择数十个特征。我们比较了正确分类的比率，使用AdaBoost，Lasso和基于直方图的算法选择的功能。我们比较了在3D地图和RGB图像上获得的分类精度。我们的研究结果证明了低精度3D传感设备用于面部情感识别的可行性。
Emotions analysis and recognition by the smartphones with front cameras is a relatively new concept. In this paper we present an algorithm that uses a low resolution 3D sensor for facial expression recognition. The 3D head pose as well as 3D location of the fiducial points are determined using Face Tracking SDK. Tens of the features are automatically selected from a pool determined by all possible line segments between such facial landmarks. We compared correctly classified ratios using features selected by AdaBoost, Lasso and histogram-based algorithms. We compared the classification accuracies obtained both on 3D maps and RGB images. Our results justify the feasibility of low accuracy 3D sensing devices for facial emotion recognition.