Abstract
For creating a CG model from an existing 3D object, a laser scanner is commonly used for providing a geometry model and a digital camera for preparing photographs for texture mapping. It is important to have an accurate estimate of camera parameters in order to precisely align photographs on overlapping regions. The alignment based on silhouettes has been most frequently employed. In this paper we examine the combination of silhouettes and texture patterns for aligning textures. Initially an optimal strategy for camera position allocation is described. Then a new method of pattern matching is presented for more precise camera position estimation. Two toy objects were used to investigate the validity of our new method. It was found that our method could yield an alignment accuracy within one to two pixels(that corresponds to .5 to .6mm).
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REFERENCES
F. Bernardini, I. M. Martin, and H. Rushmeier, High-quality texture reconstruction from multiple scans. IEEE TVCG, 7(4), October 2001.
P. J. Besl and N. D. McKay, A method for registration of 3-d shapes. IEEE Tr. on PAMI, PAMI-14(2):239–257, 1992.
P. Debevec, Y. Yu, and G. Borshukov, Efficient view-dependent image-based rendering with projective texture-mapping. In 9th Eurographics workshop on rendering, pages 105–116, 1998.
P. E. Debevec, C. J. Taylor, and J. Malik, Modeling and rendering architecture from photographs; a hybrid geometry-and image-based approach. In Proc. of SIGGRAPH’96, pages 11–20, 1996.
Y. Iwakiri and T. Kaneko, Pc-based realtime texture painting on real world objects. In Proc. of Eurographics 2001, volume 20, pages 105–113, 2001.
R. Kurazume, K. Nishino, Z. Zhang, and K. Ikeuchi, Simultaneous 2d images and 3d geometric model registration for texture mapping utilizing reflectance attribute. In Proc. of Fifth Asian Conference on Computer Vision, January 2002.
H. P. A. Lensch, W. Heidrich, and H. P. Seidel, Automated texture registration and stitching for real world models. In Proc. of Pacific Graphics 2000, pages 317–326, October 2000.
P. J. Neugebauer and K. Klein, Texturing 3d models of real world objects from multiple unregistered photographic views. In Proc. of Eurographics ’99, pages 245–256, September 1999.
E. Ofek, A. Pappoport, and M. Werman, Multi-resolution textures from image sequences. IEEE CG and Applications, 17(2):18–29, March - April 1997.
K. Pulli, M. Cohen, T. Duchamp, H. Hoppe, L. Shapiro, and W. Stuetzle, View-based rendering: Visualizing real objects from scanned range and color data. In Proc. of 8th Eurographics Workshop on Rendering, pages 23–34, June 1997.
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Iwakiri, Y., Kaneko, T. (2006). HIGH PRECISION TEXTURE MAPPING ON 3D FREE-FORM OBJECTS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_88
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DOI: https://doi.org/10.1007/1-4020-4179-9_88
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
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