Efficient Multi-Scale Registration of 3D Reconstructions Based on Camera Center Constraint

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Abstract:

Recent approaches for reconstructing 3D scenes from image collections only produce single scene models. To build a unified scene model that contains multiple subsets, we present a novel method for registration of 3D scene reconstructions in different scales. It first normalizes the scales of the models building on similarity reconstruction by the constraint of the 3D position of shared cameras. Then we use Cayley transform to fit the matrix of coordinates transformation for the models in normalization scales. The experimental results show the effectiveness and scalability of the proposed approach.

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Advanced Materials Research (Volumes 998-999)

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1018-1023

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] N. Snavely, S.M. Seitz, R. Szeliski, Photo tourism: exploring photo collections in 3D, J. ACM transactions on graphics (TOG), 25 (2006) 835-846.

DOI: 10.1145/1141911.1141964

Google Scholar

[2] N. Snavely, S.M. Seitz, R. Szeliski, Modeling the world from internet photo collections, J. International Journal of Computer Vision, 80 (2008) 189-210.

DOI: 10.1007/s11263-007-0107-3

Google Scholar

[3] Y. Furukawa, J. Ponce, Accurate, dense, and robust multiview stereopsis, J. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 32 (2010) 1362-1376.

DOI: 10.1109/tpami.2009.161

Google Scholar

[4] C.S. Chen, Y.P. Hung, J.B. Cheng, RANSAC-based DARCES: A new approach to fast automatic registration of partially overlapping range images, J. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21 (1999) 1229-1234.

DOI: 10.1109/34.809117

Google Scholar

[5] C. Strecha, T. Pylvanainen, P. Fua, Dynamic and scalable large scale image reconstruction. Computer Vision and Pattern Recognition (CVPR), IEEE, 2010, 406-413.

DOI: 10.1109/cvpr.2010.5540184

Google Scholar

[6] Chunlin Jiao, Mantun Gao, Yikai Shi, 3D terrain registration based on stereo vision. Computer Engineering and Applications, 44 (2008) 206-208, In Chinese.

Google Scholar

[7] P.J. Besl, N.D. McKay, Method for registration of 3-D shapes. Robotics-DL tentative. International Society for Optics and Photonics, 1992, 586-606.

Google Scholar

[8] R. Hartley, A. Zisserman, Multiple view geometry in computer vision. Cambridge University Press, (2003).

Google Scholar