基于循环反向编码的三维人脸测量方法  

3D Face Measurement Based on Cyclic Reverse Coding

作　　者：盖绍彦[1,2] 冯瑞 达飞鹏[1,2] Gai Shaoyan;Feng Rui;Da Feipeng(School of Automation,Southeast University,Nanjing 210096,Jiangsu,China;Key Laboratory of Measurement and Control of Complex Systems of Engineering,Ministry of Education,Southeast University,Nanjing 210096,Jiangsu,China)

机构地区：[1]东南大学自动化学院,江苏南京210096 [2]东南大学复杂工程系统测量与控制教育部重点实验室,江苏南京210096

出　　处：《光学学报》2023年第23期138-146,共9页Acta Optica Sinica

基　　金：国家自然科学基金(51475092);江苏省前沿引领技术基础研究专项(BK20192004C);江苏省高校优势学科建设工程资助课题。

摘　　要：针对人脸测量时的抖动现象,设计了一种循环反向编码方法。该方法无需专门投影反向二值条纹辅助边缘点定位,减少了投影图案的数量。用循环的三帧条纹图像代替原本利用正反两帧条纹图像定位的方式,提高边缘点检测精度的同时能够有效消除定位偏差。实验表明,所提方法能够有效提高测量速度,同时保持较高的测量精度,减少点云中的运动波纹。Objective Fringe projection profilometry has been widely used due to its high accuracy,high robustness,and non-contact characteristics.In this paper,we aim to improve the speed and accuracy of the fringe projection profilometry method,especially its performance in jittery environments.In-depth research is conducted.Typical optical 3D sensing technologies mainly include photometric stereo vision,binocular multi-eye stereo vision,time of flight method,laser line scanning method,defocus shape recovery method,and structured light projection method.Structured light projection also includes stripe projection and speckle projection methods.The decoding schemes in fringe projection profilometry are divided into the spatial phase unwrapping method and the temporal phase unwrapping method.The former only requires one phase map to recover the absolute phase,but it relies on the phase values of adjacent pixels,which cannot achieve reliable decoding for discontinuous or isolated objects.The latter projects a series of patterns for decoding,and the absolute phase value corresponding to each pixel is independently calculated,independent of the surrounding pixels.Therefore,theoretically,any shape of the object surface can be unfolded.In the binary fringe method,in order to enhance the contrast of the stripe pattern,binary fringes are used instead of projecting sinusoidal fringes.However,traditional methods require more stripes.For example,the classic method of stripe edge detection requires adding reverse stripes to achieve accurate stripe decoding and positioning.The goal of this paper is not only to reduce the number of stripes but also to effectively improve the accuracy of localization.Methods Edge localization of binary fringes is a key issue.Song et al.proposed a three-dimensional measurement method based on stripe edge detection.The use of binary stripes instead of sinusoidal stripes as projection patterns greatly enhances the contrast of stripe patterns.At the same time,edge points of binary fringes are detected to reduc

关 键 词：三维测量 循环反向编码 二值条纹 边缘定位 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]