Name
Title | ||
|---|---|---|
Tissue Surface Model Mapping onto Arbitrary Target Surface Based on Self-Organizing Deformable Model |
Abstract | ||
|---|---|---|
This paper proposes a new method for mapping a tissue surface model onto an arbitrary target surface while preserving the geometrical features of the tissue surface. In our method, firstly, the tissue model is roughly deformed by using Self-organizing Deformable Model. Since the deformed model may contain folded patches, the folded patches are removed. Moreover, by Free-Form Deformation (FFD), and the area- and angle-preserving mapping, the model is mapped onto the target surface while preserving geometrical properties of the original model. From several experimental results, we can conclude that the proposed method can map tissue models onto arbitrary target surface without foldovers. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EST.2013.34 | Emerging Security Technologies |
Keywords | Field | DocType |
tissue surface,target surface,angle-preserving mapping,original model,tissue surface model,tissue surface model mapping,tissue model,arbitrary target surface,new method,self-organizing deformable model,geometrical feature,statistical analysis,deformation | Computer vision,Biological system,Computer science,Tissue surface,Artificial intelligence,Deformation (mechanics),Tissue Model,Statistical analysis | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shoko Miyauchi | 1 | 0 | 1.35 |
| Ken'Ichi Morooka | 2 | 158 | 16.90 |
| Yasushi Miyagi | 3 | 1 | 1.41 |
| Takaichi Fukuda | 4 | 1 | 1.41 |
| Tokuo Tsuji | 5 | 132 | 23.29 |
| Ryo Kurazume | 6 | 622 | 74.18 |