Abstract
In this article we discuss the 2D-3D pose estimation problem of 3D free-form surface models. In our scenario we observe free-form surface models in an image of a calibrated camera. Pose estimation means to estimate the relative position and orientation of the 3D object to the reference camera system. The object itself is modelled as a two-parametric surface model which is represented by Fourier descriptors. It enables a low-pass description of the surface model, which is advantageously applied to the pose problem. To achieve the combination of such a signal-based model within the geometry of the pose scenario, the conformal geometric algebra is used and applied.
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Rosenhahn, B., Perwass, C., Sommer, G. (2003). Pose Estimation of Free-Form Surface Models. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_73
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DOI: https://doi.org/10.1007/978-3-540-45243-0_73
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