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Camera Pose and Calibration from 4 or 5 known 3D Points (1999)
| Content Provider | CiteSeerX |
|---|---|
| Author | Triggs, Bill |
| Description | We describe two direct quasilinear methods for camera pose (absolute orientation) and calibration from a single image of 4 or 5 known 3D points. They generalize the 6 point `Direct Linear Transform' method by incorporating partial prior camera knowledge, while still allowing some unknown calibration parameters to be recovered. Only linear algebra is required, the solution is unique in non-degenerate cases, and additional points can be included for improved stability. Both methods fail for coplanar points, but we give an experimental eigendecomposition based one that handles both planar and nonplanar cases. Our methods use recent polynomial solving technology, and we give a brief summary of this. One of our aims was to try to understand the numerical behaviour of modern polynomial solvers on some relatively simple test cases, with a view to other vision applications. Keywords: Camera Pose & Calibration, Direct Linear Transform, Polynomial Solving, Multiresultants, Eigensystems. 1 Intro... In Proc. 7th Int. Conf. on Computer Vision |
| File Format | |
| Language | English |
| Publisher | IEEE Computer Society Press |
| Publisher Date | 1999-01-01 |
| Access Restriction | Open |
| Subject Keyword | Simple Test Case Additional Point Nonplanar Case Experimental Eigendecomposition Brief Summary Numerical Behaviour Unknown Calibration Parameter Linear Algebra Single Image Polynomial Solving Direct Linear Transform Coplanar Point Partial Prior Camera Knowledge Camera Pose Improved Stability Camera Pose Calibration Non-degenerate Case Absolute Orientation Vision Application Direct Quasilinear Method Modern Polynomial Solver |
| Content Type | Text |
| Resource Type | Article |
