Name
Abstract | ||
|---|---|---|
Visual saliency is defined by the perceptual information that makes possible to detect specific areas which attract to guide the human visual attention. In this study, the authors present an efficient method for salient regions detection on three-dimensional (3D) meshes using weighted graphs representation. To do so, the authors propose a novel 3D surface descriptor based on a local homogeneity me... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.0598 | IET Image Processing |
Keywords | Field | DocType |
graph theory,mesh generation,stereo image processing | Computer vision,Hill climbing,Homogeneity (statistics),Polygon mesh,Similarity measure,Pattern recognition,Salience (neuroscience),Mean curvature,Robustness (computer science),Artificial intelligence,Mathematics,Salient | Journal |
Volume | Issue | ISSN |
12 | 9 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdul Rahman El Sayed | 1 | 0 | 0.68 |
| el chakik abdallah | 2 | 7 | 2.18 |
| Hassan Alabboud | 3 | 0 | 0.34 |
| Adnan Yassine | 4 | 136 | 20.53 |