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Contour-based surface reconstruction using MPU implicit models
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1739
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| Title: | Contour-based surface reconstruction using MPU implicit models |
| Authors: | Braude, Ilya
Marker, Jeffrey
Museth, Ken
Nissanov, Jonathan
Breen, David E. |
| Keywords: | Surface reconstruction
Contours
Implicit models
Multi-level Partition of Unity
Normal estimation |
| Issue Date: | Mar-2007 |
| Publisher: | Elsevier Science B.V. |
| Citation: | Graphical Models, 69(2), 139-157. |
| Abstract: | This paper presents a technique for creating a smooth, closed surface from a set of 2D
contours, which have been extracted from a 3D scan. The technique interprets the pixels
that make up the contours as points in R3 and employs Multi-level Partition of Unity (MPU)
implicit models to create a surface that approximately fits to the 3D points. Since MPU
implicit models additionally require surface normal information at each point, an algorithm
that estimates normals from the contour data is also described. Contour data frequently
contains noise from the scanning and delineation process. MPU implicit models provide
a superior approach to the problem of contour-based surface reconstruction, especially in
the presence of noise, because they are based on adaptive implicit functions that locally
approximate the points within a controllable error bound.We demonstrate the effectiveness
of our technique with a number of example datasets, providing images and error statistics
generated from our results. |
| URI: | http://dx.doi.org/10.1016/j.gmod.2006.09.007
http://hdl.handle.net/1860/1739 |
| Appears in Collections: | Faculty Research and Publications (Comp Sci)
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