Curve and surface fitting with splines
Curve and surface fitting with splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Visual Tracking of Complex Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Coupled Active Contours
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Stereo Reconstruction of 3D Curves
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
3D Curve Reconstruction by Biplane Snakes
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Multiview Reconstruction of Space Curves
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Reconstruction of 3D curves for quality control
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
IEEE Transactions on Image Processing
B-spline snakes: a flexible tool for parametric contour detection
IEEE Transactions on Image Processing
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In the area of quality control by vision, the reconstruction of 3D curves is a convenient tool to detect and quantify possible anomalies. Whereas other methods exist that allow us to describe surface elements, the contour approach will prove to be useful to reconstruct the object close to discontinuities, such as holes or edges. We present an algorithm for the reconstruction of 3D parametric curves, based on a fixed complexity model, embedded in an iterative framework of control point insertion. The successive increase of degrees of freedom provides for a good precision while avoiding to over-parameterize the model. The curve is reconstructed by adapting the projections of a 3D NURBS snake to the observed curves in a multi-view setting. The optimization of the curve is performed with respect to the control points using an gradient-based energy minimization method, whereas the insertion procedure relies on the computation of the distance from the curve to the image edges.