Abstract | ||
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An novel stereo vision tracking method is proposed to implement an interactive Human Computer Interface(HCI). Firstly, a feature detection method is introduced to accurately obtain the location and orientation of the feature in an efficient way. Secondly, a searching method is carried out, which uses probability in the time, frequency or color space to optimize the searching strategy. Then the 3D information is retrieved by the calibration and triangulation process. Up to 5 degrees of freedom(DOFs) can be achieved from a single feature, compared with the other methods, including the coordinates in 3D space and the orientation information. Experiments show that the method is efficient and robust for the real time game interface. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1007/11558651_36 | ICEC |
Keywords | Field | DocType |
interactive human computer interface,feature detection method,multi-dimensional game interface,triangulation process,orientation information,color space,novel stereo vision tracking,real time game interface,single feature,degree of freedom,time frequency,real time,human computer interface,stereo vision,feature detection | Computer vision,Multi dimensional,Color space,Stereopsis,Computer science,Computational geometry,Triangulation (social science),Invariant (mathematics),Artificial intelligence,User interface,Calibration | Conference |
Volume | ISSN | ISBN |
3711 | 0302-9743 | 3-540-29034-6 |
Citations | PageRank | References |
1 | 0.40 | 15 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yufeng Chen | 1 | 38 | 16.55 |
Mandun Zhang | 2 | 12 | 3.56 |
Peng Lu | 3 | 16 | 3.21 |
Xiangyong Zeng | 4 | 606 | 66.63 |
Yangsheng Wang | 5 | 750 | 66.25 |