Abstract
In 3D objects recovering, geometry features of 3D contour curves were analyzed, method of 3D contour curves matching based geometry features was presented. Contour curves of 3D objects were extracted and represented by B-spline. According to geometry features of 3D contour, curvatures and torsions of point on curves were calculated after filtering and smoothing contour curves. Eigenvectors of 3D contours were constructed by curvatures and torsions. Features of corresponding points on two contour curves were compared to judge similarity of contour. Matching relation of contour was determined between tow contour curves based on similarity between two contours. Fragments mosaicing were realized for recovering broken objects based on contour curves matching. Experimental results show that that this method has high speed, accuracy and validity.
This work is supported by the Natural Science Foundation of Fujian Province of China Grant #S0650005 to Caiying Luo and Science & Technology project of Educational Department of Fujian Province of China Grant #JA10119 to Shucheng Zhou.
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References
Pajdla, T., Van Gool, L.: Matching of 3D curves using semi-differential invariants. In: Proceedings of the Fifth International Conference on Computer Vision (ICCV 1995), Boston, pp. 390–395 (1995)
Kishon, E., Wolfson, H., Hastie, T.: 3D curve matching using splines. Journal of Robotic Systems 8(6), 723–743 (1991)
Zhang, H., Eugene, F.: Shape Matching of 3-D Contours Using Normalized Fourier Descriptors. In: Proceedings of International Conference on Shape modeling and Application, Banff, pp. 261–270 (2002)
Chen, G., Tien, D.B.: Invariant Fourier wavelet descriptor for pattern recognition. Pattern Recognition 32(7), 1083–1088 (1999)
Rodriguez, W., Last, M., Kandel, A., et al.: 3-Dimensinal curve similarity using string matching. Robotics and Autonomous Systems 49, 165–172 (2004)
Kong, W., Kimia, B.B.: On solving 2D and 3D puzzles using curve matching. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Hawaii, vol. 2(2), pp. 583–590 (2001)
Copper, D.B., Willis, A., Andrews, S., Baker, J., Cao, Y., Han, D., et al.: Bayesian pot-assembly from fragments as problems in perceptual-grouping and geometric-learning. In: Proceedings of the 16th International Conference on Pattern Recognition (ICPR 2002), Quebec, vol. 3, pp. 297–302 (2002)
Sablatnig, R., Menard, C., Kropatsch, W.: Classification of archaeological fragments using a description language. In: Proceedings of European Association for Signal Processing (Eusipco 1998), Island of Rhodas, Greece, vol. 2, pp. 1097–1100 (1998)
de Boor, C.: On Calculating with B splines. Journal of Approximation Theory 6(1), 50–62 (1972)
Zhu, X., et al.: Formative technique of free curves and surface. Science Press, Beijing (2000)
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Luo, C., Zhou, S. (2011). On 3D Contour Matching Based on Geometry Features. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23220-6_79
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DOI: https://doi.org/10.1007/978-3-642-23220-6_79
Publisher Name: Springer, Berlin, Heidelberg
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