Title
Centroidal power diagrams with capacity constraints: computation, applications, and extension.
Abstract
This article presents a new method to optimally partition a geometric domain with capacity constraints on the partitioned regions. It is an important problem in many fields, ranging from engineering to economics. It is known that a capacity-constrained partition can be obtained as a power diagram with the squared L2 metric. We present a method with super-linear convergence for computing optimal partition with capacity constraints that outperforms the state-of-the-art in an order of magnitude. We demonstrate the efficiency of our method in the context of three different applications in computer graphics and geometric processing: displacement interpolation of function distribution, blue-noise point sampling, and optimal convex decomposition of 2D domains. Furthermore, the proposed method is extended to capacity-constrained optimal partition with respect to general cost functions beyond the squared Euclidean distance.
Year
DOI
Venue
2016
10.1145/2980179.2982428
ACM Trans. Graph.
Keywords
Field
DocType
centroidal power diagram,displacement interpolation,convex decomposition,blue noise
Convergence (routing),Power diagram,Mathematical optimization,Colors of noise,Square (algebra),Computer science,Interpolation,Partition (number theory),Computer graphics,Computation
Journal
Volume
Issue
ISSN
35
6
0730-0301
Citations 
PageRank 
References 
9
0.51
42
Authors
7
Name
Order
Citations
PageRank
Shi-Qing Xin19713.42
Bruno Lévy22520130.17
Zhonggui Chen3788.93
Chu Lei495.25
Yaohui Yu590.51
Changhe Tu628834.47
Wenping Wang72491176.19