In order to solve the problem of texture optimization in 3D city reconstruction by using multi-lens oblique images, the paper presents a method of seamless texture model reconstruction. At first, it corrects the radiation information of images by camera response functions and image dark channel. Then, according to the corresponding relevance between terrain triangular mesh surface model to image, implements occlusion detection by sparse triangulation method, and establishes the triangles' texture list of visible. Finally, combines with triangles' topology relationship in 3D triangular mesh surface model and means and variances of image, constructs a graph-cuts-based texture optimization algorithm under the framework of MRF(Markov random filed), to solve the discrete label problem of texture optimization selection and clustering, ensures the consistency of the adjacent triangles in texture mapping, achieves the seamless texture reconstruction of city. The experimental results verify the validity and superiority of our proposed method.
[1] KAZHDAN M, BOLITHO M, HOPPE H. Poisson Surface Reconstruction[C]//Proceedings of the Fourth Eurographics Symposium on Geometry Processing. Switzerland:Eurographics Association Aire-la-Ville, 2006.
[2] 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, NY:IEEE, 2006.
[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] SCHÖNING J, HEIDEMANN G. Evaluation of Multi-view 3D Reconstruction Software[M]//AZZOPARDI C, PETKOV N. Computer Analysis of Images and Patterns:Lecture Notes in Computer Science. Switzerland:Springer International Publishing, 2015.
[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] PARK J S. Interactive 3D Reconstruction from Multiple Images:a Primitive-based Approach[J]. Pattern Recognition Letters, 2005, 26(16):2558-2571.
[7] FRUEH C, JAIN S, ZAKHOR A. Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images[J]. International Journal of Computer Vision, 2005, 61(2):159-184.
[8] 崔红霞, 林宗坚, 孙杰. 大重叠度无人机遥感影像的三维建模方法研究[J]. 测绘科学, 2005, 30(2):36-38. CUI Hongxia, LIN Zongjian, SUN Jie. Research on the 3-Dimensional Modeling Method for Remote Sensing Images of Big Degree of Overlap Acquired by Unmaned Aerial Vehicle[J]. Science of Surveying and Mapping, 2005, 30(2):36-38.
[9] BERNARDINI F, MARTIN I M, RUSHMEIER H, et al. High-quality Texture Reconstruction from Multiple Scans[J]. IEEE Transactions on Visualization and Computer Graphics, 2001, 7(4):318-332.
[10] BAUMBERG A. Blending Images for Texturing 3D Models[C]//Marshall D, ROSIN L. Proceedings of the British Machine Vision Conference.[S.l.]:BMVA Press, 2002.
[11] LEMPITSKY V, IVANOV D. Seamless Mosaicing of Image-based Texture Maps[C]//Proceedings of 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, MN:IEEE, 2007.
[12] GAL R, WEXLER Y, OFEK E, et al. Seamless Montage for Texturing Models[J]. Computer Graphics Forum, 2010, 29(2):479-486.
[13] PERÉZ P, GANGNET M, BLAKE A. Poisson Image Editing[J]. ACM Transactions on Graphics, 2003, 22(3):313-318.
[14] GREENE N, KASS M, MILLER G. Hierarchical Z-buffer Visibility[C]//Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques. New York:ACM, 1993.
[15] PARKER S, SHIRLEY P, LIVNAT Y, et al. Interactive Ray Tracing for Isosurface Rendering[C]//Proceedings of 1998 International Conference on Visualization. Los Alamitos, CA:IEEE, 1998.
[16] 张春森, 张卫龙, 郭丙轩, 等. 倾斜影像的三维纹理快速重建[J]. 测绘学报, 2015, 44(7):782-790. DOI:10.11947/j.AGCS.2015.20140341. ZHANG Chunsen, ZHANG Weilong, GUO Bingxuan, et al. Rapidly 3D Texture Reconstruction Based on Oblique Photography[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(7):782-790. DOI:10.11947/j.AGCS.2015.20140341.
[17] HARTLEY R, ZISSERMAN A. Multiple View Geometry in Computer Vision[M]. 2nd ed. London:Cambridge University Press, 2003.
[18] BOYKOV Y, VEKSLER O, ZABIH R, et al. Fast Approximate Energy Minimization via Graph Cuts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(11):1222-1239.
[19] SCHMIDT M, ALAHARI K. Generalized Fast Approximate Energy Minimization via Graph Cuts:α-Expansion β-Shrink Moves[C]//Proceedings of 27th Conference on Uncertainty in Artificial Intelligence. Barcelona, Spain:[s.n.], 2011.
[20] ZUREIKI A, DEVY M, CHATILA R. Stereo Matching and Graph Cuts[M]. Vienna, Austria:I-Tech Education and Publishing, 2008:349-372.
[21] HUSSMANN S, RINGBECK T, HAGEBEUKER B. A Performance Review of 3D TOF Vision Systems in Comparison to Stereo Vision Systems[M]. Vienna, Austria:InTech, 2008.
[22] HE Kaiming, SUN Jian, TANG Xiaoou. Single Image Haze Removal Using Dark Channel Prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12):2341-2353.
[23] 罗思. 基于Wallis原理改进的匀光算法[J]. 测绘科学技术, 2015, 3(3):51-58. LUO Si. Improved Dodging Algorithm Based on Wallis Principle[J]. Geomatics Science and Technology, 2015, 3(3):51-58.
[24] 李德仁, 王密, 潘俊. 光学遥感影像的自动匀光处理及应用[J]. 武汉大学学报(信息科学版), 2006, 31(9):753-756. LI Deren, WANG Mi, PAN Jun. Auto-dodging Processing and Its Application for Optical RS Images[J]. Geomatics and Information Science of Wuhan University, 2006, 31(9):753-756.
[25] KIM S J, POLLEFEYS M. Robust Radiometric Calibration and Vignetting Correction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(4):562-576.
[26] D'ANGELO P. Radiometric Alignment and Vignetting Calibration[C]//Proceedings of the 2007 ICVS Workshop on Camera Calibration Methods for Computer Vision System. Bielefeld, Germany:Applied Computer Science Group, Bielefeld University, 2007.
