首页|基于计算机视觉的人脸关键点特征智能提取方法

基于计算机视觉的人脸关键点特征智能提取方法

Intelligent extraction method for face key point features based on computer vision

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为了提高人脸关键点特征提取的精度,文章引入了计算机视觉技术,以开展人脸关键点特征智能提取方法研究.通过背景去噪、图像灰度处理,完成人脸图像的预处理;构建残差网络,对遮挡图像进行智能修复;结合计算机视觉,实现对多人脸关键点特征识别与提取.通过对比实验证明,新提取方法提取结果的F1 分数最大,提取精度最高.
In order to improve the accuracy of face key features extraction,computer vision technology is introduced to carry out the research of intelligent extraction method of face key features.The preprocessing of face image is completed through background denoising and image grayscale processing.The residual network is constructed to intelligently repair the occlusion images.Combined with computer vision,the recognition and extraction of multiple face key point features are realized.The comparative experiments show that the new extraction method has the largest F1 score and the highest extraction accuracy.

computer visionkey pointsintelligent extractionfeaturesface

田石磊

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华北电力大学(保定),河北 保定 071000

计算机视觉 关键点 智能提取 特征 人脸

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(13)
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