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. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Rosenhahn, B., Perwass, C., & Sommer, G. (2003). Pose estimation of free-form surface models. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2781, 574–581. https://doi.org/10.1007/978-3-540-45243-0_73
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