基于反向合成高斯牛顿的半全局立体匹配算法  

3D measurement of single-frame surface structured light based on digital speckle projection

作　　者：柳庆林[1] 倪章松[1] 张平涛[1] 石啟凡 麻绍君 钟凯[2] 李中伟[2] LIU Qinglin;NI Zhangsong;ZHANG Pingtao;SHI Qifan;MA Shaojun;ZHONG Kai;LI Zhongwei(Key Laboratory of Icing and Anti/De-icing China Aerodynamics Research and Devolopment Center,Mianyang 621000,China;State Key Laboratory of Material Processing and Die&Mould Technology,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]中国空气动力研究与发展中心结冰与防除冰重点实验室,四川绵阳621000 [2]华中科技大学材料成形与模具技术国家重点实验室,湖北武汉430074

出　　处：《光学技术》2021年第4期390-397,共8页Optical Technique

基　　金：国家重点研发计划(2017YFB1103200);国家自然科学基金(51675208);湖北省自然科学基金杰出青年基金(2019CFA045);湖北省重点研发计划项目(2020BAB137);湖北省技术创新专项(2019AAA008);飞行器结冰与防除冰重点实验室开放基金(AIADL20180203)。

摘　　要：针对数字散斑投影三维测量技术中的立体匹配问题,提出基于反向合成高斯牛顿的半全局立体匹配算法。该算法采用基于Census变换的匹配代价值来衡量像素点间的相似性,通过代价聚合算法增强匹配代价对噪声的鲁棒性;在此基础上,提出基于一阶形函数的反向合成高斯牛顿算法,实现亚像素级别的视差优化;最后,提出耦合唯一性检查、左右一致性检查以及连通区域约束的错误视差剔除算法,消除由遮挡和噪声引起的错误视差。实验结果表明,该算法可精确、稠密、完整地重建出复杂物体的三维形貌,重建精度优于0.06mm。Aiming at the stereo matching problem in digital speckle projection 3 D measurement technology, a semi-global stereo matching algorithm based on Inverse Compositional Gauss-Newton iterative algorithm is proposed.The algorithm uses the matching cost value based on the Census transform to measure the similarity between pixels, and the cost aggregation algorithm enhances the robustness of the matching cost to noise;On this basis, a reverse synthetic Gauss-Newton algorithm based on the first-order shape function is proposed to achieve sub-pixel parallax optimization;Finally, an erroneous parallax elimination algorithm coupled with uniqueness check, left-right consistency check and connected region constraints is proposed to eliminate the erroneous parallax caused by occlusion and noise. Experimental results show that the algorithm can accurately, densely and completely reconstruct the three-dimensional topography of complex objects, and the reconstruction accuracy is better than 0.06 mm.

关 键 词：数字散斑投影 立体匹配 反向合成高斯牛顿算法 半全局立体匹配算法 

分 类 号：TP394.1[自动化与计算机技术—计算机应用技术] TH691.9[自动化与计算机技术—计算机科学与技术]