Name
Abstract | ||
|---|---|---|
In the human-robot interactions, it is an important research on the artificial intelligence that robots catch the human's attention information. This process has a significant impact on robot intelligence. In this paper, a system for extracting human's attention-information from interaction has been designed. On the basis of face detection and eye-area location, an algorithm, combined with ant colony algorithm(ACA) eye edge extracting, curve fitting and eye-model 3D reconstruction, has been designed to achieve attention information successfully by using an ordinary web cam and a low requirement hardware system. There is a significant help on real-time and applicability for human-robot visual interaction. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CIS.2011.77 | CIS |
Keywords | Field | DocType |
algorithm design,human robot interaction,ant colony algorithm,curve fitting,information extraction,three dimensional,feature extraction,3d reconstruction,artificial intelligent,face detection,ant colony,edge detection | Ant colony optimization algorithms,Cognitive robotics,Computer vision,Algorithm design,Computer science,Feature extraction,Information extraction,Artificial intelligence,Face detection,Robot,Human–robot interaction,Machine learning | Conference |
Volume | Issue | Citations |
null | null | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Gong | 1 | 0 | 0.34 |
| Lun Xie | 2 | 27 | 10.06 |
| Nan Li | 3 | 0 | 0.34 |
| Wang Zhiliang | 4 | 15 | 1.29 |