Abstract
The 3D Rounding Photography system is a application of Desktop Virtual Reality. It takes the pictures around the objects with the computer, and then deal with them for the 360 degree display in the local computer or a web page. The 3D visual sense and image real-time amplification of this system is the key technical problem. Under researching on the system, it puts forward a new solution based on the Silverlight technology. At the same time, it researches the image interpolation application, and proposes an improved triangle interpolation based on the determination of the pixels edge s. The experimental results show that the solution meet the visual sense and interaction Requirements of the 3D rounding photography system, and better to maintain the image edge in the image of partial enlargement process, has some practical value.
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References
Fu, X., Guo, B.: Overview of image interpolation technology. Computer Engineering & Design 30, 141–142 (2009)
Tomasi, C., Manduchi, R.: Bilateral Filtering for Gray and Color Images, pp. 839–846. IEEE, Piscataway (1998)
Li, X., Orchard, M.T.: New Edge-Directed Interpolation, vol. 10, pp. 1521–1527. Institute of Electrical and Electronics Engineers Inc. (2001)
Derado, G., Bowman, F.D., Patel, R., Newell, M., Vidakovic, B.: Wavelet Image Interpolation (WII): A Wavelet-Based Approach to Enhancement of Digital Mammography Images, pp. 203–214. Georgia Institute of Technology (2007)
Ulo, L.: Numerical solution of evolution equations by the haar wavelet method. Applied Mathematics and Computation 185, 695–704 (2007)
Marsi, N., Carrato, S.: Neural network-based image segmentation for image interpolation, pp. 388–397. IEEE, Piscataway (1995)
Casciola, G., Montefusco, L.B., Morigi, S.: Edge-driven Image Interpolation using Adaptive Anisotropic Radial Basis Functions, vol. 36, pp. 125–126. Springer, Netherlands (2010)
Zhou, J., Xue, Z., Wan, S.: Survey of Triangulation Methods. Computer and Modernization, 75 (July 2010)
Dyn, N., Levin, D., Rippa, S.: Data Dependent Triangulations for Piecewise Linear Interpolation. IMA J. Numerical Analysis 10, 137–154 (1990)
Yu, X., Morse, B.S., Sederberg, T.W.: Image Reconstruction Using Data-Dependent Triangulation, vol. 21, pp. 62–63. Institute of Electrical and Electronics Engineers Computer Society (May 2001)
Su, D., Willis, P.: Image Interpolation by Pixel Level Data-Dependent Triangulation, vol. 23, pp. 190–191. Blackwell Publishing Ltd. (June 2004)
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Hou, Z., Huang, J., Zhang, J. (2012). Research on 3D Object Rounding Photography Systems and Technology. In: Liu, B., Ma, M., Chang, J. (eds) Information Computing and Applications. ICICA 2012. Lecture Notes in Computer Science, vol 7473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34062-8_20
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DOI: https://doi.org/10.1007/978-3-642-34062-8_20
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