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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vinh Ninh Dao Sugimoto, M. |
| Copyright Year | 2010 |
| Abstract | The checkerboard pattern is widely used in computer vision techniques for camera calibration and simple geometry acquisition, both in practical use and research. However, most of the current techniques fail to recognize the checkerboard pattern under distorted, occluded or discontinuous conditions, especially when the checkerboard pattern is dense. This paper proposes a novel checkerboard recognition technique that is robust to noise, surface distortion or discontinuity, supporting checkerboard recognition in dynamic conditions for a wider range of applications. When the checkerboard pattern is used in a projector camera system for geometry reconstruction, by using epipolar geometry, this technique can recognize the corresponding positions of the crossing points, even if the checkerboard pattern is only partly detected. |
| Starting Page | 3081 |
| Ending Page | 3084 |
| File Size | 2796055 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424475421 |
| ISSN | 10514651 |
| e-ISBN | 9781424475414 |
| DOI | 10.1109/ICPR.2010.755 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-23 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Feature extraction Pattern recognition Geometry Cameras Pixel Surface reconstruction handheld projector-camera checkerboard pattern recognition geometry reconstruction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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