Title :
Reconstructing free-form surfaces from sparse data
Author :
Han, Song ; Medioni, Gerard
Author_Institution :
Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
We propose a scheme to recover general free-form surfaces from sparse data, and the data may contain unknown discontinuities. We use a global voting method to infer from sparse data three dense potential fields for surfaces, edges, and junctions. We then use a new model called “winged B-snakes”, which are deformable triangular B-spline surfaces embedded with active curves, to fit the surfaces and align the edges and junctions. A smooth C1 surface with preserved discontinuity edges and junctions is obtained after the “winged B-snakes” have evolved and converged in the three potential fields using energy minimization. The triangular B-splines are state-of-the-art free-form surface representations and have good properties of arbitrary triangulation, lowest degree, local control, convex hull, automatic continuity, and affine invariance
Keywords :
edge detection; image reconstruction; minimisation; splines (mathematics); active curves; affine invariance; arbitrary triangulation; automatic continuity; convex hull; deformable triangular B-spline surfaces; dense potential fields; discontinuities; energy minimization; free-form surfaces; global voting method; local control; lowest degree; preserved discontinuity edges; smooth C1 surface; sparse data; state-of-the-art free-form surface representations; winged B-snakes; Automatic control; Deformable models; Intelligent robots; Intelligent systems; Potential energy; Shape; Spline; Surface fitting; Surface reconstruction; Voting;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.545999