Title :
Auto-completion of Contours in Sketches, Maps, and Sparse 2D Images Based on Topological Persistence
Author_Institution :
Math. Sci., Durham Univ., Durham, UK
Abstract :
We design a new fast algorithm to automatically complete closed contours in a finite point cloud on the plane. The only input can be a scanned map with almost closed curves, a hand-drawn artistic sketch or any sparse dotted image in 2D without any extra parameters. The output is a hierarchy of closed contours that have a long enough life span (persistence) in a sequence of nested neighborhoods of the input points. We prove theoretical guarantees when, for a given noisy sample of a graph in the plane, the output contours geometrically approximate the original contours in the unknown graph.
Keywords :
computer graphics; graph theory; mesh generation; closed contour autocompletion; finite point cloud; hand-drawn artistic sketches; scanned maps; sparse dotted 2D images; topological persistence; Data structures; Image segmentation; Noise; Noise measurement; Stability analysis; TV; Three-dimensional displays; automatic coloring; closed contour; hand-drawn sketch; homology group; topological persistence;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2014 16th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4799-8447-3
DOI :
10.1109/SYNASC.2014.85