Name
Abstract | ||
|---|---|---|
Line drawings are widely used in conveying shape and meaning for a broad range of objects with a minimum visual representation of a scene. As for large scale animated skinned meshes, efficiency and the quality of surface deformation matters the most. Although image space method is much more efficient than the other line drawing method, i.e. object space method, it's precision on the line extraction is easily affected by noise on the rendered image. This paper provides a new illustration technique to get a well-depicted shaded model in image space which is suitable for large scale skin meshes. We firstly provide an efficient and robust algorithm to recover normals of skinned meshes. Then we apply a L0 gradient minimization to the deformed shading mesh before the suggestive contour detection in image space. The experimental results reveal that our method can illustrate large scale animated models with both accuracy and high-efficiency. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/FCST.2015.23 | 2015 Ninth International Conference on Frontier of Computer Science and Technology |
Keywords | Field | DocType |
Line drawing,skinned mesh,normal recover,L0 gradient minimization | Computer vision,Surface deformation,Polygon mesh,Computer graphics (images),Computer science,Minification,Artificial intelligence,Line drawings | Conference |
ISSN | Citations | PageRank |
2159-6301 | 0 | 0.34 |
References | Authors | |
26 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guilin Li | 1 | 11 | 6.09 |
| Huiting Yang | 2 | 0 | 0.34 |
| Juncong Lin | 3 | 105 | 20.73 |
| Xing Gao | 4 | 15 | 8.37 |
| Minghong Liao | 5 | 90 | 18.97 |
| Yanpeng Zhang | 6 | 0 | 0.68 |