[{"quality_controlled":0,"date_created":"2018-12-11T12:07:05Z","type":"journal_article","day":"01","_id":"4125","volume":17,"date_published":"1984-01-01T00:00:00Z","publisher":"Springer","date_updated":"2019-04-26T07:22:41Z","publist_id":"1997","intvolume":" 17","doi":"10.1016/0031-3203(84)90064-5","year":"1984","publication_status":"published","extern":1,"citation":{"apa":"Aurenhammer, F., & Edelsbrunner, H. (1984). An optimal algorithm for constructing the weighted Voronoi diagram in the plane. *Pattern Recognition*, *17*(2), 251–257. https://doi.org/10.1016/0031-3203(84)90064-5","ieee":"F. Aurenhammer and H. Edelsbrunner, “An optimal algorithm for constructing the weighted Voronoi diagram in the plane,” *Pattern Recognition*, vol. 17, no. 2, pp. 251–257, 1984.","ista":"Aurenhammer F, Edelsbrunner H. 1984. An optimal algorithm for constructing the weighted Voronoi diagram in the plane. Pattern Recognition. 17(2), 251–257.","mla":"Aurenhammer, Franz, and Herbert Edelsbrunner. “An Optimal Algorithm for Constructing the Weighted Voronoi Diagram in the Plane.” *Pattern Recognition*, vol. 17, no. 2, Springer, 1984, pp. 251–57, doi:10.1016/0031-3203(84)90064-5.","ama":"Aurenhammer F, Edelsbrunner H. An optimal algorithm for constructing the weighted Voronoi diagram in the plane. *Pattern Recognition*. 1984;17(2):251-257. doi:10.1016/0031-3203(84)90064-5","chicago":"Aurenhammer, Franz, and Herbert Edelsbrunner. “An Optimal Algorithm for Constructing the Weighted Voronoi Diagram in the Plane.” *Pattern Recognition* 17, no. 2 (1984): 251–57. https://doi.org/10.1016/0031-3203(84)90064-5.","short":"F. Aurenhammer, H. Edelsbrunner, Pattern Recognition 17 (1984) 251–257."},"author":[{"last_name":"Aurenhammer","first_name":"Franz","full_name":"Aurenhammer,Franz"},{"id":"3FB178DA-F248-11E8-B48F-1D18A9856A87","first_name":"Herbert","last_name":"Edelsbrunner","orcid":"0000-0002-9823-6833","full_name":"Herbert Edelsbrunner"}],"month":"01","publication":"Pattern Recognition","abstract":[{"text":"Let S denote a set of n points in the plane such that each point p has assigned a positive weight w(p) which expresses its capability to influence its neighbourhood. In this sense, the weighted distance of an arbitrary point x from p is given by de(x,p)/w(p) where de denotes the Euclidean distance function. The weighted Voronoi diagram for S is a subdivision of the plane such that each point p in S is associated with a region consisting of all points x in the plane for which p is a weighted nearest point of S.\n\nAn algorithm which constructs the weighted Voronoi diagram for S in O(n2) time is outlined in this paper. The method is optimal as the diagram can consist of Θ(n2) faces, edges and vertices.","lang":"eng"}],"title":"An optimal algorithm for constructing the weighted Voronoi diagram in the plane","page":"251 - 257","issue":"2","status":"public"}]