Abstract
Aiming at the problem of low efficiency and low photorealistic models in the current navigation simulator, a new interactive system of image-based modeling (IBM) Based on SIFT was studied. The goal of this paper is 3D reconstruction from multiple Images of the scene or the object. To overcome the shortcoming of manual matching in IBM, a new algorithm based on SIFT was provided. To improve the third dimension of 3D reconstruction, a new way of texture image extraction and fusion were adopted. Experimental results show that the image matching algorithm is fit for images even under conditions such as move, rotation, slight scale and affine transformation, and the 3D models generated by this paper are sufficiently accurate and photorealistic to meet the requirements in the virtual reality and visualization applications. Compare with the previous system of image-based modeling, it is simpler, more convenient and easier to create photorealistic models.
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References
Liu, G., Peng, Q.S., Bao, H.J.: An Interactive Modeling System from Multiple Images. Journal of Computer–aided Design & Computer Graphic 16(10), 1419–1424 (2004)
Quan, L., Tan, P., Zeng, G.: Image-based plant modeling. ACM Trans. on Graphics (SIGGRAPH) 25(3), 772–778 (2006)
Tan, P., Zeng, G., Wang, J., Kang, S.B., Quan, L.: Image-based tree modeling. ACM Trans. on Graphics (TOG) and Proc. of SIGGRAPH 2007 (2007)
Antonvan, V.D.H., Anthony, D., Thorsten, T.: VideoTrace: Rapid interactive scene modelling from video. In: Proceedings of SIGGRAPH 2007 (2007)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)
Moradi, M., Abolmaesumi, P., Mousavi, P.: Deformable Registration Using Scale Space Keypoints. In: Proc. of SPIE Medical Imaging, San Diego, CA, pp. 791–798 (2006)
Wang, G.M., Chen, X.W.: Study on a New Algorithm of Feature Matching-SIFT. Journal of Yancheng Institute of Technology Natural Science Edition 20(2), 1–5 (2007)
Arya, S., Mount, D., Netanyahu, N.: An optimal algorithm for approximate nearest neighbo searching in fixed dimensions. Journal of the ACM 45, 891–923 (1998)
Alkaabis, D.: A new approach to corner extraction and matching for automated image registration. In: 25th IEEE International Geoscience and Remote Sensing Symposium, GARSS (2005)
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© 2011 Springer-Verlag Berlin Heidelberg
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Yi, C., Wang, X., Xu, X., Nie, B. (2011). An Interactive Modeling System Based on SIFT. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_2
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DOI: https://doi.org/10.1007/978-3-642-24273-1_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24272-4
Online ISBN: 978-3-642-24273-1
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