Face recognition based on facial landmark detection
Face recognition based on facial landmark detection
复制标题
基于人脸特征点检测的人脸识别
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
C. Pintavirooj
中科院分区：
文献类型：
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作者：
Aniwat Juhong;C. Pintavirooj
提出了一种基于人脸特征点自动提取的人脸识别新技术。我们的标志是那些与眼睛、嘴巴和鼻子有关的部位。利用提取的地标，形成面积三元组和相关的几何不变性。我们选择用面积和三角形作为不变性。为了绕过透视限制，我们在较远的距离拍摄高焦距的人脸图像。然后假定正交投影和欧氏变换。由于面积在欧几里得变换下是相对不变性的，因此应用连续面积三元组之间的绝对面积比。我们的算法已经被成功地用于识别人，并且可能是一种很有前途的面部识别技术。
This paper presents a novel technique for face recognition based on facial landmarks extracted automatically. Our landmarks are those associated with eyes mouth and nose. With the extracted landmarks, the area triplets and the associated geometric invariance are formed. We opt to use area and triangle confined within the triangle as the invariance. To bypass the perspective constraints, we take the face image with high focal length and at the farther distance. Orthogonal projection and Euclidean transformation are then assumed. As area is relative invariance under Euclidean transformation, the absolute area ratios between consecutive area triples are applied. Our purposed algorithm is tested successfully to identify person and could be a promising technique for facial recognition.