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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yue Zhao Juan Wang Shimin Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Mathematics and Statistics. Yunnan University. Kunming, China (Yue Zhao; Juan Wang; Shimin Wang) |
| Abstract | According to the formation principles of the orthogonal vanishing point in perspective projection, and the camera's intrinsic parameter matrix invariance, a approach of stratified reconstruction is discussed through the use of the structural information of scene. Firstly, using corresponding points in a pair of images solve the fundamental matrix. In order to improve the precision of fundamental matrix, a rank 2 matrix is given to approximate the fundamental matrix. Secondly, the infinity homography matrix is calculated by the orthogonal vanishing points to implement affine reconstruction. Finally, the camera's intrinsic parameter is solved by the vanishing points constraint to obtain the image of the absolute conic, so as to realize metric reconstruction. The experiment results show that this approach is feasible. |
| Starting Page | 202 |
| Ending Page | 206 |
| File Size | 229271 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424455850 |
| e-ISBN | 9781424455867 |
| DOI | 10.1109/ICCAE.2010.5451462 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-02-26 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision stratified reconstruction camera calibration H infinity control Mathematics vanishing point constraint Calibration Statistics Image reconstruction Equations Geometry vision Layout Cameras |
| Content Type | Text |
| Resource Type | Article |
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