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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yun Zhang Chu, H. |
| Copyright Year | 2008 |
| Description | Author affiliation: Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, Lafayette, LA (Yun Zhang; Chu, H.) |
| Abstract | A ray projection in the inverse-polar space is proposed for recovering a projective transformation between two segmented images. The images are converted from their original Cartesian space to the inverse-polar space. Then, the two ray projections - one shift-invariant and the other shift-sensitive - of the inverse-polar images are computed to create two sets of data. Based on the obtained projection data, a two-step strategy is employed to recover the projective transformation. In the first step, the shift-invariant data are used to recover the four affine parameters. In the second step, the shift-sensitive data are used to recover the two projective parameters. The remaining two translation-related parameters are recovered in, e.g., an exhaustive search combined with the two-step recovery strategy. The proposed approach has been tested successfully to recover a variety of projective transformations between real images. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 237402 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424422425 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.2008.4587698 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image converters Testing Computer vision Image reconstruction Layout Feature extraction Geometry Shape |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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