| 11. | In that case the rotation matrix is time dependent.
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| 12. | That is, the elements of a rotation matrix are not all completely independent.
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| 13. | Since \ mathcal { R } is a rotation matrix its inverse is its transpose.
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| 14. | The trace of a rotation matrix will be equal to the sum of its eigenvalues.
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| 15. | Bivectors are also related to the rotation matrix in " n " dimensions.
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| 16. | The rotation matrix can be recovered using gradient methods likes those in the SIFT descriptor.
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| 17. | Analysis is often easier in terms of these generators, rather than the full rotation matrix.
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| 18. | The two-dimensional rotation matrix.
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| 19. | Correspondingly the 4d rotation matrix ( non-bold italic ) in this article may be denoted
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| 20. | This is similar to the rotation produced by the above mentioned-D } } rotation matrix.
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