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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hang Zhou Qiuqi Ruan |
| Copyright Year | 2002 |
| Description | Author affiliation: Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China (Hang Zhou; Qiuqi Ruan) |
| Abstract | In this paper, we study the articulated hand model with a set of transforms featured with angles among the fingers. The feature points are extracted from images of the unmarked hand from a viewpoint. With the features extracted from the images, the system calculates them for each line and tip in the model with contour correction. Then the modified Gauss-Newton algorithm minimizes the feature residuals. The projection of the previous estimated model is used to hypothesise that the closest available feature is the correct match. |
| Sponsorship | IEEE Region 10 IEEE Comput. Soc. Beijing Chapter IEEE Commun. Soc. Beijing Chapter IEEE Control Syst. Soc. Beijing Chapter IEEE Power Eng. Soc. Beijing Chapter IEEE Power Electron. Soc. Beijing Chapter IEEE Signal Process. Soc. Biejing Chapter |
| Starting Page | 503 |
| Ending Page | 506 |
| File Size | 298096 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780374908 |
| DOI | 10.1109/TENCON.2002.1181323 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-10-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fingers Feature extraction Data mining Kinematics Thumb Electronics packaging Wrist Information science Newton method Least squares methods |
| Content Type | Text |
| Resource Type | Article |
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