三角网内插及约束的精细影像点云构建Fine image point cloud construction based on triangulation interpolation and constraint
胡春梅,夏国芳,张旭,王伟,尉丽霞
摘要(Abstract)：
针对目前几何及纹理复杂对象影像建模在点密度方面不能按需获取及边缘精度不高等问题，该文提出了基于均匀同名特征三角网内插及约束的精细点云构建方法。首先以格网形式提取并匹配同名均匀特征点对，构建同名三角网；其次在上述三角网约束下，以三角形重心为条件，以面积作为精细程度的阈值，确定内插重心同名点，同时，对边缘也进行特征提取和高精度匹配；最后应用前方交会方法生成具有需求点密度和高精度边缘特征的三维影像点云。实验证明，该文方法在点云密度和边缘信息上都有一定的优势，提高了对象点云模型的整体精度。
关键词(KeyWords)： 三角网;内插;约束;点密度;边缘
基金项目(Foundation): 国家自然科学基金项目(41401536);; 北京建筑大学市属高校基本科研业务费专项资金资助(X18230)
作者(Author): 胡春梅,夏国芳,张旭,王伟,尉丽霞
DOI: 10.16251/j.cnki.1009-2307.2022.04.012
参考文献(References)：
- [1]余培永，刘昭华．三维激光扫描支持下的文化遗产建模应用分析[J]．测绘通报，2018(8):145-149.(YUPeiyong,LIU Zhaohua.Research on application of cultural heritage modeling based on 3D laser scanning[J].Bulletin of Surveying and Mapping,2018(8):145-149．）
- [2]苟艳梅．基于无人机倾斜摄影测量的石窟文物三维重建应用研究[D]．西安：西安科技大学，2019:1-3.(GOU Yanmei.Application of 3Dreconstruction of grotto cultural relics based on UAV tilt photogrammetry[D].Xi’an:Xi’an University of Science and Technology,2019:1-3．）
- [3]夏国芳，胡春梅，范亮．一种面向造像类文物的真三维模型精细重建方法[J]．敦煌研究，2018(3):131-140.(XIA Guofang,HU Chunmei,FAN Liang.A method for reconstructing precise 3D models for statues[J].Dunhuang Research,2018(3):131-140．）
- [4]胡春梅，张旭，夏国芳，等．基于柱面基准面的类柱面文物对象正射影像生成方法研究[J]．激光杂志，2015,36(8):28-31.(HU Chunmei,ZHANG Xu,XIA Guofang,et al.Research on the method of generating orthographic images based on relics of similar cylindrical datum[J].Laser Journal,2015,36(8):28-31．）
- [5]张剑清，潘励，王树根．摄影测量学[M]．武汉：武汉大学出版社，2009:41-58.(ZHANG Jianqing,PAN Li,WANG Shugen.Photogrammetry[M].Wuhan:Wuhan University Press,2009:41-58．）
- [6]LOWE D G.Distinctive image features from scaleinvariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110．
- [7]MOREL J M,YU Guoshen.ASIFT:a new framework for fully affine invariant image comparison[J].SIAMJournal on Imaging Sciences,2009,2(2):438-469．
- [8]陈昊．基于CSIFT特征的图像分类算法研究[D]．杭州：杭州电子科技大学，2016:20-25.(CHEN Hao.Research on image classification algorithm based on CSIFT feature[D].Hangzhou:Hangzhou University of Electronic Science and Technology,2016:20-25．）
- [9]马超华，张团善．基于SURF算法的数码印花缺陷检测系统[J]．轻工机械，2021(1):52-56.(MA Chaohua,ZHANG Tuanshan.Digital printing defect detection system based on SURF algorithm[J].Light Industry Machinery,2021(1):52-56．）
- [10]杨昊瑜，戴华林，王丽，等．基于K-means的ORB算法在前方车辆识别中的应用[J]．传感器与微系统，2020(10):157-160.(YANG Haoyu,DAI Hualin,WANGLi,et al.Application of ORB algorithm based on K-means in recognition of front vehicle[J].Transducer and Microsystem Technologies,2020(10):157-160．）
- [11]FURUKAWA Y,PONCE J.Accurate,dense,and robust multiview stereopsis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,32(8):1362-1376．
- [12]LHUILLIER M,QUAN L.A quasi-dense approach to surface reconstruction from uncalibrated images[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(3):418-433．
- [13]王竞雪，朱庆，王伟玺．多匹配基元集成的多视影像密集匹配方法[J]．测绘学报，2013,42(5):691-698.(WANG Jingxue,ZHU Qing,WANG Weixi.A dense matching algorithm of multi-view image based on the integrated multiple matching primitives[J].Acta Geodaetica et Cartographica Sinica,2013,42 (5):691-698．）
- [14]蔡龙洲，余涛，谢东海，等．基于无人机图像的密集匹配方法研究[J]．测绘科学，2013,38(5):126-128.(CAI Longzhou,YU Tao,XIE Donghai,et al.A study of dense matching method based on UAV image[J].Science of Surveying and Mapping,2013,38(5):126-128．）
- [15]吴军，姚泽鑫，程门门．融合SIFT与SGM的倾斜航空影像密集匹配[J]．遥感学报，2015,38(3):431-442.(WU Jun,YAO Zexin,CHENG Menmen.Airborne oblique stereo image dense matching by integrating SIFT and SGM algorithm[J].Journal of Remote Sensing,2015,38(3):431-442．）
- [16]侯文广，吴梓翠，丁明跃．基于SURF和TPS的立体影像密集匹配方法[J]．华中科技大学学报（自然科学版），2010,38(7):91-94.(HOU Wenguang,WU Zicui,DING Mingyue.Densely stereo image matching using SURF and TPS[J].Journal of Huazhong University of Science and Technology (Natural Science Edition),2010,38(7):91-94．）
- [17]RAGURAM R,CHUM O,POLLEFEYS M,et al.USAC:a universal framework for random sample consensus[J].IEEE Transaction on Pattern Analysis and Machine Intelligence,2013,35(8):2022-2038．
- [18]SATTLER T,LEIBE B,KOBBELT L.SCRAMSAC:Improving RANSAC’s efficiency with a spatial consistency filter[C]∥2009IEEE 12th International Conference on Computer Vision.Kyoto,Japan:IEEE,2009:2090-2097．
- [19]LIU Z,MARLET R.Virtual line descriptor and semilocal matching method for reliable feature correspondence[EB/OL].[2021-03-19].https：∥www.researchgate.net/publication/269130846．
- [20]LI J Y,HU Q W,AI M Y.4FP-structure:a robust local region feature descriptor[J].Photogrammetric Engineering&Remote Sensing,2017,83 (12):813-826．
- [21]张洪艳，沈焕锋，张良培，等．一种保边缘影像超分辨率重建方法[J]．中国图象图形学报，2009,14(11):2255-2261.(ZHANG Hongyan,SHEN Huanfeng,ZHANG Liangpei,et al.An edge-preserving image super-resolution reconstruction method[J].Journal of Image and Graphics,2009,14(11):2255-2261.)