Abstract
In this paper, 3D parametric active contours are used to segment contours of flexible objects. The contour is a 3D curve or a “weak” model supplying information about the object contour. Views from two or more viewpoints are incorporated and enable direct reconstruction in three-dimensional space, without utilising volumetric images or separate active contours on each image. This curve is optimised using a greedy algorithm, leading to a fast algorithm, suitable for use in on-line quality inspection applications. 3D ziplock ribbon snakes are used to model tubes and other approximately rotationally symmetric objects. Model information is incorporated by hard constraints and model-specific energy terms. The proposed 3D contour segmentation algorithm is applied one synthetic and two real-world scenes. The average distance between the reconstructed contour and the ground truth amounts to 1 mm, which is equivalent to approximately 1 disparity pixel for all three examples.
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d'Angelo, P., Wöhler, C., Krüger, L. (2006). MODEL BASEDMULTI-VIEW ACTIVE CONTOURS FOR QUALITY INSPECTION. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_81
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DOI: https://doi.org/10.1007/1-4020-4179-9_81
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