Name
Title | ||
|---|---|---|
Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image |
Abstract | ||
|---|---|---|
In this paper we propose a novel and easy to use 3D reconstruction method. With the method, users only need to specify a small boundary surface patch in a 2D section image, and then an entire continuous implicit boundary surface (CIBS) can be automatically reconstructed from a 3D image. In the method, a hierarchical tracing strategy is used to grow the known boundary surface patch gradually in the 3D image. An adaptive detection technique is applied to detect boundary surface patches from different local regions. The technique is based on both context dependence and adaptive contrast detection as in the human vision system. A recognition technique is used to distinguish true boundary surface patches from the false ones in different cubes. By integrating these different approaches, a high-resolution CIBS model can be automatically reconstructed by adaptively expanding the small boundary surface patch in the 3D image. The effectiveness of our method is demonstrated by its applications to a variety of real 3D images, where the CIBS with complex shapes/branches and with varying gray values/gradient magnitudes can be well reconstructed. Our method is easy to use, which provides a valuable tool for 3D image visualization and analysis as needed in many applications. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TVCG.2014.2312015 | IEEE Trans. Vis. Comput. Graph. |
Keywords | Field | DocType |
3d image reconstruction,continuous implicit boundary surface (cibs),human vision system,computer graphics,3d edge detection,adaptive detection technique,high resolution cibs model,continuous implicit boundary surface,2d section image,boundary surface patches,3d image visualization,image reconstruction,hierarchical tracing strategy,surface/model generation,context dependence,3d reconstruction,surface connectivity,3d reconstruction method,zero-crossing surfaces,adaptive contrast detection,solid modeling,surface reconstruction,face | Iterative reconstruction,Computer vision,Surface reconstruction,Machine vision,Visualization,Computer science,Artificial intelligence,Solid modeling,Computer graphics,Tracing,3D reconstruction | Journal |
Volume | Issue | ISSN |
20 | 11 | 1077-2626 |
Citations | PageRank | References |
1 | 0.35 | 29 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lisheng Wang | 1 | 12 | 5.33 |
| Pai Wang | 2 | 3 | 2.07 |
| Liuhang Cheng | 3 | 2 | 0.69 |
| Yu Ma | 4 | 1 | 0.35 |
| Shenzhi Wu | 5 | 1 | 0.35 |
| Yu-Ping Wang | 6 | 281 | 58.87 |
| Zongben Xu | 7 | 3203 | 198.88 |