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Surface reconstruction of freeform objects based on multiresolution volumetric method
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Source ACM Symposium on Solid and Physical Modeling archive
Proceedings of the eighth ACM symposium on Solid modeling and applications table of contents
Seattle, Washington, USA
SESSION: Reverse engineering table of contents
Pages: 115 - 126  
Year of Publication: 2003
ISBN:1-58113-706-0
Authors
Sergei Azernikov  Technion - Israel Institute of Technology, Haifa, Israel
Alex Miropolsky  Technion - Israel Institute of Technology, Haifa, Israel
Anath Fischer  Technion - Israel Institute of Technology, Haifa, Israel
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

3D scanners developed over the past several decades have facilitated the reconstruction of complicated engineering parts. Typically the boundary representation of a part is reconstructed from its scanned cloud of points. This approach, however, is still limited and cannot be applied to a family of objects such as thin parts. Recently, new 3D scanning devices have been developed. These devices capture additional information, such as normals and texture, as well as conventional information, including clouds of sampled points.This paper describes a new and fast reverse engineering method for creating a 3D computerized model from data captured by contemporary 3D scanning devices. The proposed method aggregates large-scale 3D scanned data into an extended Hierarchical Space Decomposition Model (HSDM) based on Octree data structure. This model can represent both an object's boundary surface and its interior volume. Based on the proposed volumetric model, the surface reconstruction process becomes more robust and stable with respect to sampling noise. The hierarchical structure of the proposed volumetric model enables data reduction, while preserving sharp geometrical features and object topology. As a result of data reduction, the execution time of the reconstruction process is significantly reduced. Moreover, the proposed model naturally allows multiresolution surface reconstruction, represented by a mesh with regular properties. The proposed surface reconstruction approach is based on extracting a Connectivity Graph from the extended HSDM and reconstructing facets based on normals data. The feasibility of the method will be demonstrated on a number of complex objects, including thin parts.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Sergei Azernikov: colleagues
Alex Miropolsky: colleagues
Anath Fischer: colleagues

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