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3D rotation estimation using vector measurements is investigated.
Error analysis is performed, and the variance covariance matrix of the rotation estimation error is derived.
Further consideration is required for medium clays, as load magnitude played a strong role in both natural frequency and permanent rotation estimation.
A method based on line to line correspondences is extended to arc to line correspondences to solve the exterior orientation of the spherical panorama with a novel approach for translation estimation and an adaptive weighting in rotation estimation.
It loosens the tight coupling between translation and rotation estimation such that these can be performed in consecutive steps with estimation problems of reduced complexity which can be reliably solved using strong features characteristic to indoor spaces.
However, the decreased reconstruction error implicitly assesses the effectiveness of rotation estimation in our algorithm.
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The chapter also covers the various methods of factor rotation and estimation of factor scores.
Many approaches have been proposed for the rotation parameter estimation in ISAR imaging.
Therefore, for real applications of PFA, an accurate and robust method for rotation parameter estimation is necessary.
From Figure 13j,k, we note that effective rotation parameter estimation is achievable even if SNR decreases down to -10 dB and the estimate accuracy degrades slightly with the increase of strong noise.
According to Eq. (36), the template matching for rotation and scaling estimation can be performed as follows.
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