13 October 1994 Iterative refining algorithm for regularization
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The work here presented proposes an iterative refining algorithm to build a sequence of convex functionals based essentially on a weak thin-plate under tension model for smoothing. This algorithm is applied to structure estimation and edge detection problems. The sequence of functionals is obtained by modifying continuously and iteratively continuous non-binary line processes which control regularity of the surface. This is done by comparing the smoothed estimation with initial data (sparse or dense), that is evaluating signal-to-noise characteristics.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francesco P. Lovergine, Ettore Stella, Arcangelo Distante, "Iterative refining algorithm for regularization", Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); doi: 10.1117/12.189100; https://doi.org/10.1117/12.189100

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