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作 者:吴学会[1] 于名飞 WU Xuehui;YU Mingfei(Information Center,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,China;The Information Construction and Management Office,Nankai University Tianjin 300071,China)
机构地区:[1]天津中医药大学信息中心,天津301617 [2]南开大学信息化建设与管理办公室,天津300071
出 处:《激光杂志》2019年第12期102-106,共5页Laser Journal
基 金:国家自然科学基金(No.61302127);天津市科技支撑计划重点项目(No.14ZCZDGX00033)资助
摘 要:采用现有方法进行三维人脸图像中特征点的定位存在精度低的问题,提出了一种三维人脸图像中特征点的激光定位方法。根据人脸各器官分布情况,对需要被定位的三维人脸图像中的特征点进行选择,并确定这些特征点的大致范围;进行激光设备标定,使每个特征点都有固定的坐标范围,计算与每一组坐标相对应的像素坐标值,根据标定数据对特征点进行重建;处理不同角度下的三维人脸图像特征,计算三维人脸图像边缘方位场和特征点方位场,选出距离最小的样本,构成样本集,获取粗定位结果;搜索位置局部区域,获取与实际特征点最匹配的方位场,确定特征点精准位置,实现三维人脸图像中特征点的定位。通过实验对比结果可知,采用提出的三维人脸图像中特征点激光定位方法最高的定位精准度可达到93%,明显优于现有方法,更具有应用优势。The existing method used to locate the feature points in 3D face images has the problem of low precision.This paper proposes a laser positioning method for feature points in 3D face images.According to the distribution of various organs on the face,the feature points in the three-dimensional face image that needs to be located are selected,and the approximate range of the feature points are determined.The laser device calibration is carried out so that each feature point has a fixed coordinate range.The pixel coordinate values corresponding to each set of coordinates are calculated,and the feature points according to the calibration data are reconstructed.The 3D face image features at different angles are processed,the 3D face image edge azimuth field and the feature point azimuth field are calculated.The samples with minimum distance are selected as sample set to obtains the coarse positioning result.The local area of the position is searched,the azimuth field that best matches the actual feature point is obtained,the precise position of the feature point is determined,and the positioning of feature points in the three-dimensional face image is realized.The experimental results show that the highest positioning accuracy of the feature point laser positioning method in the three-dimensional face image proposed in this paper can reach up to 93%,which is obviously superior to the existing methods and has application advantages.
关 键 词:三维人脸图像 特征点 激光 方位场 粗定位 精准定位
分 类 号:TN249[电子电信—物理电子学]
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