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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lam, L.T.S. Lam, W.C.Y. Yuen, K.S.Y. Leung, D.N.K. |
| Copyright Year | 1994 |
| Description | Author affiliation: Dept. of Electron. Eng., City Polytech. of Hong Kong, Kowloon, Hong Kong (Lam, L.T.S.; Lam, W.C.Y.; Yuen, K.S.Y.; Leung, D.N.K.) |
| Abstract | Locating a two-dimensional object accurately in an image is a very common task in the applications of computer vision. In this paper, a Hough-like prediction/correction (HPC) approach is proposed for locating arbitrary shapes (i.e., non-analytical shapes) in images. The approach can be regarded as a modification of the generalized Hough transform (GHT) that has been shown as a robust method. Not only does the proposed approach retain the merits of the GHT, but also minimizes the problems. |
| Starting Page | 2408 |
| Ending Page | 2413 |
| File Size | 488518 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780321294 |
| DOI | 10.1109/ICSMC.1994.400227 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1994-10-02 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Transforms Equations Kelvin Cities and towns Robustness Two dimensional displays Computer vision Computer industry Metals industry |
| Content Type | Text |
| Resource Type | Article |
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