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作 者:焦瑾瑾 JIAO Jinjin(Zhengzhou Business University,Gongyi Henan 451200,China)
机构地区:[1]郑州商学院,河南巩义451200
出 处:《激光杂志》2022年第7期85-89,共5页Laser Journal
基 金:河南省2020年度虚拟仿真实验教学项目(No.148)。
摘 要:为了解决传统人脸轮廓三维图像成像技术存在的成效效果不佳、应用性能低的问题。因此,本文对光谱匹配技术在人脸轮廓三维图像成像中的应用进行了研究。安装干涉型光谱仪等三维图像光谱成像设备,并构建人脸三维模型。在该模型下采集人脸三维图像信息,利用光谱匹配识别人脸轮廓,实现人脸轮廓三维图像成像。实验结果表明,本文方法的三维图像成像技术得出成像结果的分辨率更高,平均成像误差为30.8像素,人脸识别的正确率高达95.6%。由此可知,光谱匹配技术在人脸轮廓三维图像成像中具有较好的实际应用性能。In order to solve the problems of poor effect and low application performance of traditional face contour 3D image imaging technology.Therefore,the application of spectral matching technology in face contour 3D image imaging is studied in this paper.Install three-dimensional image spectral imaging equipment such as interference spectrometer,and build a three-dimensional face model.In this model,the face 3D image information is collected,the face contour is recognized by spectral matching,and the face contour 3D image imaging is realized.The experimental results show that the three-dimensional image imaging technology of this method has higher resolution,the average imaging error is 30.8 pixels,and the accuracy of face recognition is as high as 95.6%.Therefore,spectral matching technology has good practical application performance in face contour 3D image imaging.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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