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by Deformable Velcro, W. Neuenschwander, P. Fua, O. Kubler
ftp://ftp.vision.ee.ethz.ch/publications/1995/postscripts/NeueICCV95.ps.gz
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Abstract:
We present a new approach to segmentation of 3Dimensional shapes that initializes and then optimizes a 3-D surface model given only the data and a very small number of 3-D seed points and corresponding surface normals. This is a valuable capability for medical, robotic and cartographic applications where such seed points can be naturally supplied. In effect, the surface model is clamped onto the object boundary in manner reminiscent of a Velcro being closed. We develop the method's mathematic framework and show preliminary results using volumetric medical data. 1
Citations
| 2088 | Snakes: Active Contour Models – Kass, Witkin, et al. - 1988 |
| 542 | Elastically deformable models – Terzopoulos, Platt, et al. - 1987 |
| 128 | Geometric structures for three-dimensional shape representation – Boissonnat - 1984 |
| 77 | Symmetry-seeking models and 3D object reconstruction – Terzopoulos, Witkin, et al. - 1987 |
| 59 | A finite element model for 3D shape reconstruction and nonrigid motion tracking – McInerney, Terzopoulos - 1993 |
| 19 | Using 3-dimensional meshes to combine image-based and geometry-based constraints – Fua, Leclerc - 1994 |
| 16 | On matching deformable models to images – Terzopoulos - 1987 |
| 11 | Scale Space Tracking and Deformable Sheet Models for Computational Vision – Whitten - 1993 |
| 3 | Making snakes converge from minimal initialization – Neuenschwander, Fua, et al. - 1994 |
