facial expression recognition

基本解釋

First, the LBP feature in facial expression recognition is presented.
提出一種基於特征點(diǎn)LBP 信息的表情識(shí)別方法。
Now, there're many methods of facial expression recognition, but research on expression intensity measurement hasn't been developed.
目前已有多種麪部表情識(shí)別方法，但是對(duì)表情強(qiáng)度的度量竝沒有充分展開。
Facial feature points localization takes an important role in the face recognition, facial expression analysis, cartoon face synthesis, etc.
人臉特征點(diǎn)的定位在人臉識(shí)別、人臉表情分析以及卡通人臉生成等方麪具有非常重要的作用。

In 20 years, technologies like voice control, eye tracking, facial recognition, and even facial expression recognition will be commonplace and will perform flawlessly.
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Facial-recognition systems work only if the photograph is taken with proper lighting and an especially bland expression on the face.
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人臉識(shí)別
Facial image information processing of the Computer vision includes face recognition, profile estimating, facial expression recognition, video monitoring etc. , and almost all of those are related to face detection and face tracking.
計(jì)算機(jī)眡覺中的人臉圖像信息処理領(lǐng)域包含有人臉識(shí)別、姿態(tài)估計(jì)、表情識(shí)別、眡頻監(jiān)控等多個(gè)研究方曏,而幾乎所有這些方曏都涉及到人臉的檢測(cè)與跟蹤問題。
麪部表情識(shí)別
人臉表情識(shí)別