Name
Abstract | ||
|---|---|---|
In this paper, we propose a novel salient line detection algorithm for 3-dimensional (3D) mesh models based on ant colony optimization algorithm. In proposed method, the heuristic function in ACO transition function is improved based on tensor feature and the relationship between mean curvature information via vertex geometric feature. In addition, the proposed method establishes a similarity measurement criterion of feature points by combining the normal tensor voting with discrete mean curvature. Moreover, a direction control function is utilized to conduct the detection process to a expect direction, which can achieve an interaction between operator and computer. The experimental results show that the proposed method can extract the salient line effectively and precisely. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-09333-8_79 | INTELLIGENT COMPUTING THEORY |
Keywords | Field | DocType |
salient line detection, 3-dimensional mesh models, ant colony optimization | Ant colony optimization algorithms,Tensor,Computer science,Operator (computer programming),Artificial intelligence,Vertex (geometry),Pattern recognition,Control function,Mean curvature,Algorithm,Transition function,Machine learning,Salient | Conference |
Volume | ISSN | Citations |
8588 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xutang Zhang | 1 | 7 | 2.50 |
| Yan Liu | 2 | 197 | 30.85 |
| Yinling Ma | 3 | 0 | 0.34 |
| Hong Liu | 4 | 139 | 22.83 |
| Ting Zhuang | 5 | 3 | 1.07 |