Name
Abstract | ||
|---|---|---|
Line drawings are especially effective and natural in shape depiction. There are generally two ways to generate line drawings: object space methods and image space methods. Compared with object space methods, image space methods are much faster and independent of the 3D object, but easily affected by small noise in the rendered image. We suggest applying an edge-preserving L0 gradient smoothing step on the rendered image before line extraction. Experimental results show that our method can effectively alleviate unnecessary small scale lines, leading to results comparable to object space methods. |
Year | Venue | Field |
|---|---|---|
2015 | ICSI | Computer vision,Mathematical optimization,Computer science,Smoothing,Depiction,Minification,Artificial intelligence,Line drawings |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
11 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juncong Lin | 1 | 105 | 20.73 |
| Huiting Yang | 2 | 0 | 0.34 |
| Dazheng Wang | 3 | 0 | 0.68 |
| Guilin Li | 4 | 11 | 6.09 |
| Xing Gao | 5 | 15 | 8.37 |
| Qingqiang Wu | 6 | 12 | 0.84 |
| Minghong Liao | 7 | 90 | 18.97 |