Iterative refining algorithm for regularization

Francesco P. Lovergine; Ettore Stella; Arcangelo Distante

doi:10.1117/12.189100

13 October 1994 Iterative refining algorithm for regularization

Francesco P. Lovergine, Ettore Stella, Arcangelo Distante

Proceedings Volume 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision; (1994) https://doi.org/10.1117/12.189100
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

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.

Citation Download Citation

Francesco P. Lovergine, Ettore Stella, and 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); https://doi.org/10.1117/12.189100

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