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128 Reverse Engineering – Recent Advances and Applications 12 Will-be-set-by-IN-TECH (a) (b) (c) (d) (e) (f) Fig. 9. (a)-(f) different reconstruction-levels, from level one to six, of the Stanford dragon point data set (Stanford Scan Repository (2009)) consisting of 437,645 points.
Surface Reconstruction from Unorganized 3D Point Clouds Surface Reconstruction from Unorganized 3D Point Clouds 13 (a) (b) Fig. 10. Water tower scan at the campus of UC Davis. (a) Raw point cloud having 4.3 mio. points, (b) reconstruction having 300k faces (10 subdivision steps) (total reconstruction time of about 23 seconds performed with an Intel Core2 Duo). Fig. 11. Reconstruction of environmental point cloud (3.8 mio. points, 215k faces, 9 steps, 24 seconds). is well suited for providing a fast preview of complex environmental scenes and serves as basis for providing initial reconstructions with respect to further mesh processing. 6. Conclusion We provided a novel multi-resolution approach to surface reconstruction from point clouds. Our method automatically adapts to the underlying surface topology and provides a fully-connected hybrid-mesh representation. In the context of reverse engineering it is able to provide accurate reconstructions assumed that the input data shows a sufficient point density. However, in case the point distribution is not continuous the generated reconstruction may 129
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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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218 Reverse Engineering - Recent Ad
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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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