表情分析合成 expression analysis and synthesis
It can be utilized for many computer vision tasks, such as face detection and recognition, low bit rate video transmission, image restoration, facial expression analysis and digital zooming.
它有着广泛的应用背景，如：人脸检测与识别，低带宽的视频传输，图像恢复，人脸表情分析，数码相机的digital zooming技术等。
参考来源 - 基于学习的图像超分辨率技术·2,447,543篇论文数据，部分数据来源于NoteExpress
人脸特征点的定位在人脸识别、人脸表情分析以及卡通人脸生成等方面具有非常重要的作用。
Facial feature points localization takes an important role in the face recognition, facial expression analysis, cartoon face synthesis, etc.
由于30年来FACS已得到承认和CERT的精确性记录，面部表情分析的自动化非常符合这些标准。
Given FACS's three decades of acceptance and CERT's record of accuracy, automated facial-expression analysis might well meet those criteria.
人脸的识别和分析可以广泛应用在个人身份识别、安检、人机交互、表情分析、唇读等应用中。
Recognition and analysis of human faces can be widely used in such fields as personal identification recognition, safety inspection, human-computer interaction, expression analysis, lip-reading, etc.
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