| Presentation | 2009-03-13 Ellipse Detection by Combining Division and Model Selection based Integration of Edge Points Toshihiro Arima, Yasuyuki Sugaya, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We present a new method for detecting ellipses from images, which based on ellipse fitting. Even if obtained points cover only a part of an ellipse, ellipse fitting method can accurately estimate its ellipse parameters if the points lie on the ellipse. For detecting ellipses from an image, we first extract edge points from the image. The most important problem to detect ellipses by ellipse fitting is how to select edge points to fit an ellipse. In this paper, we propose an edge detection method based on ellipse fitting. This method consists of two procedures. We first detect ellipses by using RANSAC based ellipse fitting. In the next step, we iteratively integrate edge points which lie on the same ellipse by using model selection and re-fitting an ellipse. Using real image experiments, we demonstrate effectiveness of our method. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | PRMU2008-244 |
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| Committee | PRMU |
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| Conference Date | 2009/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Ellipse Detection by Combining Division and Model Selection based Integration of Edge Points |
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| 1st Author's Name | Toshihiro Arima |
| 1st Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology() |
| 2nd Author's Name | Yasuyuki Sugaya |
| 2nd Author's Affiliation | Department of Information and Computer Sciences, Toyohashi University of Technology |
| Date | 2009-03-13 |
| Paper # | PRMU2008-244 |
| Volume (vol) | vol.108 |
| Number (no) | 484 |
| Page | pp.pp.- |
| #Pages | 8 |
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