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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sharir, Micha Barequet, Gill |
| Abstract | In this paper we present a new technique for piecewise-linear surface reconstruction from a series of parallel polygonal cross-sections. This is an important problem in medical imaging, surface reconstruction from topographic data, and other applications. We reduce the problem, as in most previous works, to a series of problems of piecewise-linear interpolation between each pair of successive slices. Our algorithm uses a partial curve matching technique for matching parts of the contours, an optimal triangulation of 3-D polygons for resolving the unmatched parts, and a minimum spanning tree heuristic for interpolating between non simply connected regions. Unlike previous attempts at solving this problem, our algorithm seems to handle successfully any kind of data. It allows multiple contours in each slice, with any hierarchy of contour nesting, and avoids the introduction of counter-intuitive bridges between contours, proposed in some earlier papers to handle interpolation between multiply connected regions. Experimental results on various complex examples, involving actual medical imaging data, are presented, and show the good and robust performance of our algorithm. |
| Starting Page | 93 |
| Ending Page | 102 |
| Page Count | 10 |
| File Format | |
| ISBN | 0897916484 |
| DOI | 10.1145/177424.177562 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1994-06-10 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Surface reconstruction Triangulation Curve matching Polyhedra Geometric hashing Slice interpolation Surface fitting Tiling Branching surfaces Dynamic programming |
| Content Type | Text |
| Resource Type | Article |
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