Abstract
In this paper we evaluate an automatic segmentation algorithm able to identify the set of rigidly moving points within a deformable object given the 2D measurements acquired by a perspective camera. The method is based on a RANSAC algorithm with guided sampling and an estimation of the fundamental matrices from pairwise frames in the sequence. Once the segmentation of rigid and non-rigid points is available, the set of rigid points could be used to estimate the internal camera calibration parameters, the overall rigid motion and the non-rigid 3D structure.
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Del Bue, A., Lladó, X., Agapito, L. (2007). Segmentation of Rigid Motion from Non-rigid 2D Trajectories. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72847-4_63
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DOI: https://doi.org/10.1007/978-3-540-72847-4_63
Publisher Name: Springer, Berlin, Heidelberg
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