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This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 28 ACKNOWLEDGMENT This work is supported by the National Science Foundation of China under the grant No.60835003 and No.61075038. Thanks for the anonymous suggestions by the reviewers. Thanks for the helpful discussions with Prof. Shiming Xiang and Prof. Michael Werman. REFERENCES [1] S. Agarwal, N. Snavely, I. Simon, S. M. Seitz, and R. Szeliski, “Building rome in a day,” in International Conference on Computer Vision, 2009, pp. 72–79. [2] Y. Furukawa and J. Ponce, “Accurate, dense, and robust multiview stereopsis,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 32, no. 8, pp. 1362–1376, 2010. [3] J.-M. Frahm, P. Fite-Georgel, D. Gallup, T. Johnson, R. Raguram, C. Wu, Y.-H. Jen, E. Dunn, B. Clipp, S. Lazebnik, and M. Pollefeys, “Building rome on a cloudless day,” in European Conference on Computer Vision, 2010, pp. 368–381. [4] N. Snavely, S. M. Seitz, and R. Szeliski, “Photo tourism: Exploring photo collections in 3D,” ACM Transactions on Graphics (TOG), vol. 25, pp. 835–846, 2006. [5] S. Agarwal, Y. Furukawa, N. Snavely, B. Curless, S. M. Seitz, and R. Szeliski, “Reconstructing rome,” Computer, vol. 43, pp. 40–47, 2010. [6] D. G. Lowe, “Distinctive image features from scale-invariant keypoints,” International Journal of Computer Vision, vol. 60, no. 2, pp. 91–110, 2004. [7] J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid, “Local features and kernels for classification of texture and object categories: a comprehensive study,” International Journal of Computer Vision, vol. 73, no. 2, pp. 213–238, 2007. [8] R. Szeliski, “Image alignment and stitching: A tutorial,” Foundations and Trends in Computer Graphics and Vision, vol.2, pp. 1–104, 2006. [9] K. Mikolajczyk and C. Schmid, “An affine invariant interest point detector,” in European Conference on Computer Vision- Part I, 2002, pp. 128–142. [10] S. Lazebnik, C. Schmid, and J. Ponce, “A sparse texture representation using local affine regions,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 27, pp. 1265–1278, 2005. [11] J. J. Koenderink and A. J. V. Doorn, “Representation of local geometry in the visual system,” Biological Cybernetics, vol. 55, pp. 367–375, 1987. [12] A. Baumberg, “Reliable feature matching across widely separated views,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, 2000. [13] F. Schaffalitzky and A. Zisserman, “Multi-view matching for unordered image sets, or how do i organize my holiday snaps?,” in European Conference on Computer Vision, 2002, pp. 414–431. [14] M. Heikkila, M. Pietikainen, and C. Schmid, “Description of interest regions with local binary patterns,” Pattern Recognition, vol. 42, pp. 425–436, 2009. [15] E. Mortensen, H. Deng, and L. Shapiro, “A SIFT descriptor with global context,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 184–190. [16] E. Tola, V. Lepetit, and P. Fua, “A fast local descriptor for dense matching,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2008. November 26, 2011 DRAFT
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