Abstract
In this paper, we present an easy, efficient and practical algorithm, which extracts the feature silhouette from a photograph for virtual human modeling. Our segmentation algorithm is derived from the Mumford-Shah segmentation technology and the level set formulation. We accelerate the silhouette extraction process using the multi-pyramid level method. After that, a feature extraction algorithm is introduced to determine the feature points on the human contours. At the end of the paper, some results of the virtual human modeling are shown to demonstrate the functionality. Compared with other approaches, our silhouette extraction methods and feature extraction are automatic, and the speed of extraction is fast.
| Original language | English |
|---|---|
| Publication status | Published - 2001 |
| Event | Proceedings of the IASTED International Conference Visualization, Imaging, and Image Processing, September 3-5, 2001, Marbella, Spain - Duration: 1 Jan 2001 → 1 Jan 2001 |
Conference
| Conference | Proceedings of the IASTED International Conference Visualization, Imaging, and Image Processing, September 3-5, 2001, Marbella, Spain |
|---|---|
| Period | 1/01/01 → 1/01/01 |
Keywords
- 3-D object extraction
- Active contour
- Feature extraction
- Segmentation