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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Taubin, G. |
| Copyright Year | 1995 |
| Description | Author affiliation: IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA (Taubin, G.) |
| Abstract | Estimating principal curvatures and principal directions of a surface from a polyhedral approximation with a large number of small faces, such as those produced by iso-surface construction algorithms, has become a basic step in many computer vision algorithms, particularly in those targeted at medical applications. We describe a method to estimate the tensor of curvature of a surface at the vertices of a polyhedral approximation. Principal curvatures and principal directions are obtained by computing in closed form the eigenvalues and eigenvectors of certain 3/spl times/3 symmetric matrices defined by integral formulas, and closely related to the matrix representation of the tensor of curvature. The resulting algorithm is linear, both in time and in space, as a function of the number of vertices and faces of the polyhedral surface.< |
| Starting Page | 902 |
| Ending Page | 907 |
| File Size | 632334 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818670428 |
| DOI | 10.1109/ICCV.1995.466840 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-06-20 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tensile stress Face detection Approximation algorithms Computer vision Eigenvalues and eigenfunctions Medical services Biomedical equipment Biomedical imaging Visualization Linear systems |
| Content Type | Text |
| Resource Type | Article |
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