A Novel Surface Reconstruction Framework From 3D Contours

N. Kehtarnavaz; R.J. P. de Figueiredo

doi:10.1117/12.964863

20 February 1987 A Novel Surface Reconstruction Framework From 3D Contours

N. Kehtarnavaz, R.J. P. de Figueiredo

Proceedings Volume 0729, Space Station Automation II; (1987) https://doi.org/10.1117/12.964863
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States

Abstract

In many applications, such as computer vision, medical imaging, scene forming, and motion animation, surface data is available in the form of two-dimensional (2D) or three-dimensional (3D) contours. Reconstruction of the surface integrates this information into a three-dimensional format. A good surface reconstruction framework must be able to include the surface characteristics inherited in the local structures of the contours. In order to achieve this goal, we have developed a novel surface reconstruction framework which consists of the formulation and solution of three separate sub-problems: (0 contour segmentation; (ii) matching of segments on adjoining contours; (iii) creation of parametric surface patches for joining matched pairs of segments on adjoining contours. New techniques for the solution of the first two subproblems were described in proceeding papers. In the present paper, we discuss a new method for surface patch formation by blending curve segments using spline and sinc blending functions. These blending functions interpolate simultaneously several segments and are chosen such that the boundary conditions are satisfied, and the shape of a segment is propagated along the surface beyond neighboring segments.

Citation Download Citation

N. Kehtarnavaz and R.J. P. de Figueiredo "A Novel Surface Reconstruction Framework From 3D Contours", Proc. SPIE 0729, Space Station Automation II, (20 February 1987); https://doi.org/10.1117/12.964863

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