Title
Delaunay-based triangular surface reconstruction from points via Umbrella Facet Matching
Abstract
This paper presents an effective algorithm to reconstruct a closed 3D triangular surface mesh from a set of unorganized points based on Delaunay triangles. The algorithm essentially seeks to construct an optimal local 2D manifold surface (umbrella) at each individual point in parallel. The underlying principle is that for any point, there always exists a cluster of triangular facets, selected from the Delaunay triangles at the point, to constitute the shape of an opened umbrella. If a triangular facet belongs to all three umbrellas of its three vertices, the triangular facet is considered as a matched facet. When all triangular facets of an umbrella are matched facets, the umbrella is regarded as a matched umbrella which fully overlaps with its neighboring umbrellas. A topologically correct triangular surface mesh is then constructed when the matched umbrella for every individual point is found. The proposed Umbrella Facet Matching (UFM) algorithm has been implemented and validated using many publicly available point cloud data sets. The algorithm is seen to be of good convergence and without the need for further hole-filling post-processing. And the reconstructed surface meshes only contain minor shape approximation errors, when compared to the original surfaces of the sampled points.
Year
DOI
Venue
2010
10.1109/COASE.2010.5584049
CASE
Keywords
Field
DocType
closed 3d triangular surface mesh,umbrella facet matching,point cloud data sets,approximation theory,mesh generation,hole-filling post-processing,delaunay-based triangular surface reconstruction,computational geometry,minor shape approximation errors,surface reconstruction,technology,point cloud,shape,clustering algorithms,indexes,manifolds
Surface reconstruction,Topology,Combinatorics,Polygon mesh,Vertex (geometry),Computational geometry,Facet (geometry),Point cloud,Mathematics,Mesh generation,Delaunay triangulation
Conference
ISBN
Citations 
PageRank 
978-1-4244-5447-1
0
0.34
References 
Authors
16
3
Name
Order
Citations
PageRank
Ji Ma116028.93
Hsi-yung Feng215215.49
Lihui Wang361961.77