[1] SEITZ S M, CURLESS B, DIEBEL J, et al. A comparison and evaluation of multi-view stereo reconstruction algorithms[C]//Proceedings of 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York:IEEE, 2006:519-528. [2] REMONDINO F, SPERA M G, NOCERINO E, et al. State of the art in high density image matching[J]. Photogrammetric Record, 2014, 29(146):144-166. [3] FURUKAWA Y, PONCE J. Accurate, dense, and robust multiview stereopsis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(8):1362-1376. [4] 赵红蕊, 陆胜寒. 基于特征尺度分布与对极几何约束的高清影像快速密集匹配方法[J]. 测绘学报, 2018, 47(6):790-798. DOI:10.11947/j.AGCS.2018.20170630. ZHAO Hongrui, LU Shenghan. Dense high-definition image matching strategy based on scale distribution of feature and geometric constrain[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(6):790-798. DOI:10.11947/j.AGCS.2018.20170630. [5] 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. [6] GOESELE M, SNAVELY N, CURLESS B, et al. Multi-view stereo for community photo collections[C]//Proceedings of 2007 IEEE 11th International Conference on Computer Vision. Rio de Janeiro:IEEE, 2007:1-8. [7] ROTHERMEL M, WENZEL K, FRITSCH D, et al. SURE:photogrammetric surface reconstruction from imagery[C]//Proceedings of LC3D Workshop. Berlin:ISPRS, 2012:1-9. [8] SHEN Shuhan. Accurate multiple view 3D reconstruction using patch-based stereo for large-scale scenes[J]. IEEE Transactions on Image Processing, 2013, 22(5):1901-1914. [9] GALLIANI S, LASINGER K, SCHINDLER K. Massively parallel multiview stereopsis by surface normal diffusion[C]//Proceedings of 2015 IEEE International Conference on Computer Vision. Santiago:IEEE, 2015:873-881. [10] 闫利, 费亮, 陈长海, 等. 利用网络图进行高分辨率航空多视影像密集匹配[J]. 测绘学报, 2016, 45(10):1171-1181. DOI:10.11947/j.AGCS.2016.20160068. YAN Li, FEI Liang, CHEN Changhai, et al. A multi-view dense matching algorithm of high resolution aerial images based on graph network[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(10):1171-1181. DOI:10.11947/j.AGCS.2016.20160068. [11] 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, 19(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, 19(3):431-442. [12] TOLDO R, FANTINI F, GIONA L, et al. Accurate multiview stereo reconstruction with fast visibility integration and tight disparity bounding[C]//Proceedings of 3D Virtual Reconstruction and Visualization of Complex Architectures. Trento:ISPRS, 2013:243-249. [13] KAR A, HÄNE C, MALIK J. Learning a multi-view stereo machine[C]//Proceedings of the 30st Conference on Neural Information Processing Systems. Long Beach:Neural Information Processing Systems Foundation, 2017:365-376. [14] YAO Yao, LUO Zixin, LI Shiwei, et al. MVSNet:depth inference for unstructured multi-view stereo[C]//Proceedings of the 15th European Conference on Computer Vision. Munich:Springer, 2018:785-801. [15] JI Mengqi, GALL J, ZHENG Haitian, et al. SurfaceNet:an end-to-end 3D neural network for multiview stereopsis[C]//Proceedings of 2017 IEEE International Conference on Computer Vision. Venice:IEEE, 2017:2326-2334. [16] BARNES C, SHECHTMAN E, FINKELSTEIN A, et al. PatchMatch:a randomized correspondence algorithm for structural image editing[J]. ACM Transactions on Graphics (TOG), 2009, 28(3):24. [17] BLEYER M, RHEMANN C, ROTHER C. PatchMatch stereo-stereo matching with slanted support windows[C]//Proceedings of 2011 22nd British Machine Vision Conference. Dundee:BMVA, 2011:1-11. [18] HIRSCHMULLER H. Stereo processing by semiglobal matching and mutual information[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(2):328-341. [19] YOON K J, KWEON I S. Adaptive support-weight approach for correspondence search[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(4):650-656. [20] TOLA E, LEPETIT V, FUA P DAISY:an efficient dense descriptor applied to wide-baseline stereo[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(5):815-830. [21] BOISSONNAT J D, DEVILLERS O, PION S, et al. Triangulations in CGAL[C]//Proceedings of the 16th Annual Symposium on Computational Geometry. Hong Kong, China:ACM, 2000:11-18. [22] AANAES H, JENSEN R R, VOGIATZIS G, et al. Large-scale data for multiple-view stereopsis[J]. International Journal of Computer Vision, 2016, 120(2):153-168. [23] STRECHA C, VON HANSEN W, VAN GOOL L, et al. On benchmarking camera calibration and multi-view stereo for high resolution imagery[C]//Proceedings of 2008 IEEE Conference on Computer Vision and Pattern Recognition. Anchorage:IEEE, 2008:1-8. [24] CRAMER M. The DGPF-test on digital airborne camera evaluation-overview and test design[J]. Photogrammetrie-Fernerkundung-Geoinformation, 2010, 2010(2):73-82. [25] ALTMAN S, XIAO Wen, GRAYSON B. Evaluation of LOW-COST terrestrial Photogrammetry for 3D reconstruction of complex buildings[C]//Proceedings of ISPRS Geospatial Week 2017. Wuhan:Copernicus GmbH, 2017:199-206. |