Name
Abstract | ||
|---|---|---|
Issues regarding 3D object construction have been widely discussed for years. In order to simplify the process, we proposed a method to construct 3D object. Multi-view human images and feature points are used to generate 3D skeleton. We use an effective coordinate transformation method to transform feature points in 3D space. A modified K-means algorithm can search join points of target human by additional three directions and generate a simple 3D skeleton from the human's information. In 3D object segmentation, we use shape diameter-function SDF method and Gaussian mixture model GMM. We use SDF method to compute the SDF value by centre of shape information and neighbour of current shape path information. The GMM method is used to obtain the scope value of object clustering in our paper. Eventually, we show results of our method in experiment results, and results show that our method is effective. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1504/IJCSE.2015.070988 | IJCSE |
Keywords | DocType | Volume |
automated clustering, texture mapping, SIFT, 3D model | Journal | 10 |
Issue | ISSN | Citations |
4 | 1742-7185 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph C. Tsai | 1 | 12 | 5.14 |
| Shih-Ming Chang | 2 | 58 | 7.05 |
| Shwu-huey Yen | 3 | 42 | 9.07 |
| Timothy K. Shih | 4 | 1245 | 303.83 |
| Kuan-ching Li | 5 | 933 | 122.44 |