[1]宋根龙,田 彤,陈 轩,等.基于人脸关键特征的眼镜增强匹配算法[J].计算机技术与发展,2022,32(04):181-185.[doi:10. 3969 / j. issn. 1673-629X. 2022. 04. 031]
　SONG Gen-long,TIAN Tong,CHEN Xuan,et al.Glasses Augmented Matching Algorithm Based on Key Features of Facial Detection[J].,2022,32(04):181-185.[doi:10. 3969 / j. issn. 1673-629X. 2022. 04. 031]
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基于人脸关键特征的眼镜增强匹配算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年04期
页码:
181-185
栏目:
应用前沿与综合
出版日期:
2022-04-10

文章信息/Info

Title:
Glasses Augmented Matching Algorithm Based on Key Features of Facial Detection
文章编号:
1673-629X(2022)04-0181-05
作者:
宋根龙; 田 彤; 陈 轩; 李 毅*
温州大学 计算机与人工智能学院,浙江 温州 325000
Author(s):
SONG Gen-long; TIAN Tong; CHEN Xuan; LI Yi*
School of Computer and Artificial Intelligence,Wenzhou University,Wenzhou 325000,China
关键词:
增强现实; 人脸识别; 特征匹配; 图像处理; 眼镜匹配
Keywords:
augmented reality; face recognition; feature matching; image processing; glasses matchin
分类号:
TP391.41
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 04. 031
摘要:
提出了一种基于人脸特征识别的增强现实的个性化眼镜匹配算法。 针对人的脸部特征,采用了人脸识别技术,能够准确定位到摄像头下的人脸的形状特征。 在获得人脸的特征点之后,根据人脸特征进行眼镜素材模型的位置增强绑定,并通过相应的图像处理模块,对已有的眼镜素材模型进行人脸特征点匹配的调整操作,根据检测到的人脸大小及位置进行调整,使得该算法能够应用于摄像设备下移动人脸的眼镜模型匹配的动态增强现实图像的呈现。 实验结果表明,针对不同种类的眼镜,以及不同类型的人脸,该算法能够有效应用于动态人脸的个性化眼镜的匹配呈现,效果显示较好,部分眼镜匹配效果甚至与真实的眼镜效果无异,增强现实环境中更为直观。
Abstract:
A personalized glasses matching algorithm based on facial feature recognition and augmented reality is proposed. For human facial features, facial recognition technology is adopted,which can accurately locate the shape features of the face under the camera. After the feature points? ? ? of the face, the position enhancement binding of the glasses material model is carried out according to the facial features,and the adjustment operation of the face feature point matching is performed on the existing glasses material model through the corresponding image processing module. According to the size and position of the detected face,the algorithm can be applied to the presentation of dynamic augmented reality images matched by the glasses model of the moving face under the camera equipment. The test results show that for different types of glasses and different types of faces, the proposed algorithm can be effectively applied to the matching presentation of personalized glasses with dynamic faces. The effect is better,and the matching effect of some glasses is even no match for the real glasses,more intuitive in the augmented reality environment.

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更新日期/Last Update: 2022-04-10