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.
| Original language | English |
|---|---|
| Pages (from-to) | 2408-2413 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 3 |
| DOIs | |
| Publication status | Published - 1994 |
| Event | Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) - San Antonio, TX, USA Duration: 2 Oct 1994 → 5 Oct 1994 |
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