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ICCV
1999
IEEE

Camera Pose and Calibration from 4 or 5 Known 3D Points

14 years 5 months ago
Camera Pose and Calibration from 4 or 5 Known 3D Points
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.
Bill Triggs
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 1999
Where ICCV
Authors Bill Triggs
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