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The Research of Panorama Matching Stitching Algorithm Based on a Predetermined Image Framework Strategy

DOI: 10.12677/JISP.2015.44013, PP. 111-118

Keywords: 壁画拼接,图像配准,SFM,预定位框架
Mural Mosaic
, Image Registration, SFM, Predetermined Framework

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Because of the particularity of the mural mosaic work in the panorama stitching, the existing algorithms can’t satisfy the needs. We set up three-dimensional reconstruction by a structure-from- motion (SFM) system to obtain the framework, and then project the no-frame images to the frame by Moving DLT in order to refine the transformations. The experiment shows a better result between objectivity and subjectivity compared with commercial softwares.


[1]  刘之翌 (2010) 图像拼接中图像特征匹配算法研究与设计. 硕士论文, 天津工业大学, 天津.
[2]  Brown, M. and Lowe, D.G. (2007) Automatic panoramic image stitching using invariant features. International Journal of Computer Vision, 74, 59-73.
[3]  Bay, H., Tuytelaars, T. and Van Gool, L. (2006) SURF: Speeded up robust features. Computer Vision-ECCV 2006, Springer, Berlin Heidelberg, 404-417.
[4]  Szeliski, R. (2006) Image alignment and stitching: A tutorial. Foundations and Trends in Computer Graphics and Vision, 2, 1-104.
[5]  Agarwala, A., Agrawala, M., Cohen, M., et al. (2006) Photographing long scenes with multi-viewpoint panoramas. ACM Transactions on Graphics (TOG), 25, 853-861.
[6]  Szeliski, R. (2010) Computer vision: Algorithms and applications. Springer Science & Business Media, Berlin.
[7]  沈武魁 (2011) 基于SFM 的大幅面壁画图像高保真拼接技术. 硕士论文, 浙江大学, 杭州.
[8]  徐玉华, 龚文全, 苏昂, 等 (2014) 近似平面场景多视点图像拼接算法. 国防科技大学学报, 2, 148-155.
[9]  Gao, J., Kim, S.J. and Brown, M.S. (2011) Constructing image panoramas using dual-homography warping. 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado, 20-25 June 2011, 49-56.
[10]  Lin, W.Y., Liu, S., Matsushita, Y., et al. (2011) Smoothly varying affine stitching. 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado, 20-25 June 2011, 345-352.
[11]  Zaragoza, J., Chin, T.J., Tran, Q.H., et al. (2014) As-projective-as-possible image stitching with moving DLT. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 1285-1298.
[12]  Hartley, R. and Zisserman, A. (2003) Multiple view geometry in computer vision. Cambridge University Press, Cambridge.
[13]  Zhang, L., Zhang, L., Mou, X., et al. (2011) FSIM: A feature similarity index for image quality assessment. IEEE Transactions on Image Processing, 20, 2378-2386.
[14]  杨琬, 吴乐华, 范晔 (2008) 数字图像客观质量评价方法研究. 通信技术, 41, 244-246.


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