Abstract
In archeology, automatic matching of quarried stones is important for investigating their processing steps and distribution channels, and can save large amounts of human efforts. In this paper, we propose a novel method for matching of quarried blocks of a stone based on feature extraction of plug-and-feather holes, which are holes drilled for splitting the original stone. The cues for detecting holes are the unique shape of plug-and-feather holes. The positional relationship of holes is used to estimate the initial position for the alignment of fracture surfaces. Automatic matching is achieved through the alignment of the fracture surface by ICP algorithm from its initial position. The experiments for an actual stone show the advantage of feature detection in automatic matching of quarried stones.
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References
Arun, K.S., Huang, T.S., Blostein, S.D.: Least-squares fitting of two 3-D point sets. IEEE Trans. Pattern Anal. Mach. Intell. 9(5), 698–700 (1987)
Besl, P.J., McKay, N.D.: Method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–256 (1992)
Brown, J.B., Toler-Franklin, C., Nehab, D., Burns, M., Dobkin, D., Vlachopoulos, A., Doumas, C.: A system for high-volume acquisition and matching of fresco fragments: reassembling Theran wall paintings. In: Proceedings ACM SIGGRAPH 2008. vol. 27, Issue 3, Article No. 84 (2008)
Chen, Y., Medioni, G.: Object modelling by registration of multiple range images. In: Proceedings of IEEE International Conference on Image and Vision Computing (ICIVC), vol. 3, pp. 2724–2729 (1991)
Chum, O., Matas, J.: Matching with PROSAC-progressive sample consensus. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), vol. 1, pp. 220–226 (2005)
Huang, Q.-X., Flory, S., Gelfand, N., Hofer, M., Pottmann, H.: Reassembling fractured objects by geometric matching. Proc. ACM SIGGRAPH 25(3), 569–578 (2006)
Ikeuchi, K., Miyazaki, D.: Digitally Archiving Cultural Objects. Springer, New York (2007)
Ikeda, S., Morita, K., Yoshimoto, S., Iwai, D., Sato, K.: SENS-Wiper: a wearable 3-D measurement system using kinect. Proc. Jpn. Soc. Archaeol. Inf. 11, 75–80 (2013). (in Japanese)
Johnson, A.E., Martial, H.: Using spin images for efficient object recognition in cluttered 3D scenes. IEEE Trans. Pattern Anal. Mach. Intell. 21(5), 433–449 (1999)
Jost, T., Hugli, H.: A multi-resolution scheme ICP algorithm for fast shape registration. In: Proceedings of First International Symposium on 3D Data Processing Visualization and Transmission, pp. 540–543 (2002)
Klein, G., Murray, D.: Parallel tracking and mapping for small AR workspaces. In: Proceedings of 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2007), pp. 1–10 (2007)
Koller, D., Trimble, J., Najbjerg, T., Levoy, N.G.: Fragments of the city: Stanford’s digital forma Urbis Romae project. In: Proceedings of Third Williams Symposium on Classical Architecture, Journal of Roman Archaeology Suppl. vol. 61, pp. 237–252 (2006)
Levin, D.: Mesh-independent surface interpolation. In: Brunnett, G., Haman, B., Mueller, H. (eds.) Geometric Modeling for Scientific Visualization, pp. 37–49. Springer, Berlin (2004)
Masuda, T.: Registration and integration of multiple range images by matching signed distance fields for object shape modeling. Comput. Vis. Image Underst. 87(1), 51–65 (2002)
Newcombe, R.A., Izadi, S., Hilliges, O., Olyneaux, D., Kim, M.D., Davison, A.J., Kohli, P., Shotton, J., Hodges, S., Fitzgibbon, A.: KinectFusion: Real-time dense surface mapping and tracking. In: Proceedings of 10th IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 127–136 (2011)
Rabbani, T., van den Heuvel, F., Vosselmann, G.: Segmentation of point clouds using smoothness constraint. Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci. 36(5), 248–253 (2006)
Rusinkiewicz, S., Levoy, M.: Efficient variants of the ICP algorithm. In: Proceedings of 3rd International Conference on 3-D Digital Imaging and Modeling, pp. 145–152 (2001)
Steder, B., Rusu, R.B., Konolige, K., Burgard, W.: Point feature extraction on 3D range scans taking into account object boundaries. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA2011), pp. 2601–2608 (2011)
Winkelbach, S., Westphal, R., Goesling, T.: Pose estimation of cylindrical fragments for semi-automatic bone fracture reduction. In: Proceedings of 25th Annual Symposium of the German Association for Pattern Recognition (DAGM 2003), vol. 2781, pp. 566–573 (2003)
Zhang, Z.: Iterative point matching for registration of free-form curves and surfaces. Int. J. Comput. Vision 13(2), 119–152 (1994)
Acknowledgments
The authors would like to thank Mr. Y. Mikame of Kanagawa Archaeology Foundation for his supports of measurement of quarried stone.
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Morita, K., Ikeda, S., Sato, K. (2015). Automatic Matching on Fracture Surface of Quarried Stone Using the Features of Plug-and-Feather Holes. In: Lee, R. (eds) Software Engineering Research, Management and Applications. Studies in Computational Intelligence, vol 578. Springer, Cham. https://doi.org/10.1007/978-3-319-11265-7_13
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DOI: https://doi.org/10.1007/978-3-319-11265-7_13
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