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130 Reverse Engineering – Recent Advances and Applications 14 Will-be-set-by-IN-TECH exhibit cracks and holes. One possible direction for future work would be the improvement of the stability of the approach regarding such unwanted effects. This could be achieved e.g., by adapting the reconstruction in order to become more sensitive to irregular point distributions. 7. Acknowledgements This work was supported by the German Research Foundation (DFG) through the International Research Training Group (IRTG) 1131, and the Computer Graphics Research Group at the University of Kaiserslautern. It was also supported in parts by the W.M. Keck Foundation that provided support for the UC Davis Center for Active Visualization in the Earth Sciences (KeckCAVES). We also thank the members of the Computer Graphics Research Group at the Institute for Data Analysis and Visualization (IDAV) at UC Davis, the UC Davis Center for Active Visualization in the Earth Sciences (KeckCAVES) as well as the Department of Geology at UC Davis for their support and for providing us the data sets. 8. References Alexa, M., Behr, J., Cohen-Or, D., Fleishman, S., Levin, D. & Silva, C. (2003). Computing and rendering point set surfaces, IEEE Transactions on Visualization and Computer Graphics 9(1): 3–âĂ¸S15. Alexa, M., Behr, J., Cohen-Or, D., Fleishman, S., Levin, D. & Silva, C. T. (2001). Point set surfaces, Conference on Visualization, IEEE Computer Society, pp. 21–28. Amenta, N., Bern, M. & Kamvysselis, M. (1998). A new vornonoi-based surface reconstruction algorithm, ACM Siggraph ’98, pp. 415–421. Amenta, N., Bernd, M. & Kolluri, D. E. (1998). The crust and the beta-skeleton: combinatorial curve reconstruction, Graphical Models and Image Processing, 60, pp. 125–135. Amenta, N., Choi, S., Dey, T. K. & Leekha, N. (2000). A simple algorithm for homeomorphic surface reconstruction, SCG ’00: Proceedings of the sixteenth annual symposium on Computational geometry, pp. 213–222. Amenta, N., Choi, S. & Kolluri, R. K. (2001). The power crust, 6th ACM symposium on Solid Modeling and Applications, ACM Press, pp. 249–266. Azernikov, S., Miropolsky, A. & Fischer, A. (2003). Surface reconstruction of freeform objects based on multiresolution volumetric method, ACM Solid Modeling and Applications, pp. 115–126. Bernardini, F., Mittleman, J., Rushmeier, H., Silva, C. & Taubin, G. (1999). The ball-pivoting algorith for surface reconstruction, IEEE Transactions on Visualization and Computer Graphics (TVCG) 5(4): 349–359. Bertram, M., Tricoche, X. & Hagen, H. (2003). Adaptive smooth scattered-data approximation for large-scale terrain visualization, Joint EUROGRAPHICS - IEEE TCVG Symposium on Visualization, pp. 177–184. Bhattacharya, P. (2001). Efficient neighbor finding algorithms in quadtree and octree. Boissonnat, J.-D. (1984). Geometric structures for three-dimensional shape representation, ACM Trans. Graph. 3(4): 266–286. Dey, T. K. & Goswami., S. (2003). Tight cocone: A water tight surface reconstructor, Proc. 8th ACM Sympos. Solid Modeling Appl., pp. 127–134. Dey, T. K. & Goswami, S. (2004). Provable surface reconstruction from noisy samples, 20th Annual Symposium on Computational Geometry, ACM Press, pp. 330–339.
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REVERSE ENGINEERING - RECENT ADVANC
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Contents Preface IX Part 1 Software
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Preface Introduction In the recent
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Preface XI and con’s related to t
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Preface XIII the step-by-step appli
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Part 1 Software Reverse Engineering
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4 Reverse Engineering - Recent Adva
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10 Reverse Engineering - Recent Adv
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58 2. Model driven architecture: An
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62 Fig. 1. Model, metamodels and tr
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A Review on Shape Engineering and D
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Integrating Reverse Engineering and
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Part 3 Reverse Engineering in Medic
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238 5. Summary and discussions Reve
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268 Fig. 6. A closed polygon mesh r
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272 3. Results Reverse Engineering
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