Abstract
A complete method for automated 2D reconstruction of object silhouettes by B-splines is proposed. The first step is the automated initialisation of the B-spline. A new method is developed that uses the shape information of the object’s outline. The second and third steps are the methods for controlling (corresponding) and fitting (improving) the initial B-spline. These three steps complete the automated 2D representation. To show the quality of the automatically generated final B-spline a benchmark is presented where the spline approximation is compared to the ideal case in which the outline of the object is a B-spline. It will be shown that the presented method produces a highly accurate B-spline approximation of the silhouette.
This project has been partially funded by the Spanish-German bilateral projects HA1999-0038 and 314-AI-e-dr, by the Ministerio de Ciencia y Tecnologia project DPI2001-3801 and by the Deutsche Forschungsgemeinschaft project SFB 462 “Sensorimotor-Analysis of Biological Systems, Modelling and Medical-Technical Application”.
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Glas, S., Recatalá, G., Sorg, M. (2003). Automatic Reconstruction of Silhouettes Using B-Splines. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_33
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DOI: https://doi.org/10.1007/3-540-45103-X_33
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