Name
Abstract | ||
|---|---|---|
We address the problem of object modeling from 3D and 3D+T data made up of images, which contain different parts of an object of interest, are separated by large spaces, and are misaligned with respect to each other. These images have only a limited number of intersections, hence making their registration particularly challenging. Furthermore, such data may result from various medical imaging moda... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIP.2016.2586660 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Image segmentation,Interpolation,Three-dimensional displays,Shape,Magnetic resonance imaging,Level set,Robustness | Computer vision,Pattern recognition,Segmentation,Interpolation,Object model,Robustness (computer science),Image segmentation,Pixel,Artificial intelligence,Mutual information,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 9 | 1057-7149 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adeline Paiement | 1 | 61 | 7.88 |
| Majid Mirmehdi | 2 | 955 | 96.94 |
| Xianghua Xie | 3 | 383 | 37.13 |
| Mark C. K. Hamilton | 4 | 8 | 1.51 |