计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2009年
31期
138-139,150
,共3页
特征提取%局部二值模式%局部二值模式直方图序列%表情识别
特徵提取%跼部二值模式%跼部二值模式直方圖序列%錶情識彆
특정제취%국부이치모식%국부이치모식직방도서렬%표정식별
feature extraction%local binary pattern(LBP)%histogram sequence of LBP%facial expression recognition
提出一种基于特征点LBP信息的表情识别方法.在分析了表情识别中的LBP特征之后,选择含有丰富表情信息的上半脸眼部周围和下半脸嘴部周围的特征点,计算每个特征点邻域的LBP信息作为表情特征进行表情识别.实验表明,基于特征点LBP信息的方法不需要对人脸进行预配准,较传统的LBP特征更有利于表情识别的实现.
提齣一種基于特徵點LBP信息的錶情識彆方法.在分析瞭錶情識彆中的LBP特徵之後,選擇含有豐富錶情信息的上半臉眼部週圍和下半臉嘴部週圍的特徵點,計算每箇特徵點鄰域的LBP信息作為錶情特徵進行錶情識彆.實驗錶明,基于特徵點LBP信息的方法不需要對人臉進行預配準,較傳統的LBP特徵更有利于錶情識彆的實現.
제출일충기우특정점LBP신식적표정식별방법.재분석료표정식별중적LBP특정지후,선택함유봉부표정신식적상반검안부주위화하반검취부주위적특정점,계산매개특정점린역적LBP신식작위표정특정진행표정식별.실험표명,기우특정점LBP신식적방법불수요대인검진행예배준,교전통적LBP특정경유리우표정식별적실현.
An facial expression recognition method is proposed based on the Local Binary Pattern (LBP) of feature-points.First, the LBP feature in facial expression recognition is presented.Then the feature-points around the eyes of upper face and the mouth of lower face is fixed which hold rich expression information.And the LBP map of the neighbor field of each feature point is computed as expression feature for facial expression recognilion.Experimental results show that,the face normalization is not necessary by using the proposed method,which can improve the facial expression recognition.
