Abstract
The paper concerns the performance of 2D-3D pose estimation algorithm in the algebraic language of kinematics. The pose estimation problem is modelled on the base of several geometric constraint equations. The dynamic measurements of these constraints are either points or lines. Instead of using matrix based LMS optimization, the development of special extended Kalman filters is proposed. The experiments aim to compare the use of different constraints and different methods of optimal estimating the pose parameters.
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Rosenhahn, B., Zhang, Y., Sommer, G. (2000). Performance of Constraint Based Pose Estimation Algorithms. In: Sommer, G., Krüger, N., Perwass, C. (eds) Mustererkennung 2000. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59802-9_35
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DOI: https://doi.org/10.1007/978-3-642-59802-9_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67886-1
Online ISBN: 978-3-642-59802-9
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