The convex hull problem is to convert from the vertex representation to the halfspace representation or (equivalently by geometric duality) vice-versa. Given an ordering v 1 ... v n of the input vertices, after some initialization an incremental convex hull algorithm constructs halfspace ...
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Finally an optimal linear algorithm both in average and worst-case and using a minimal space complexity in O(sqrt(N)) in average (or O(1) if in-place computation is allowed) is presented.doi:10.48550/arXiv.1304.2676Jean SouvironJ. Souviron, "Convex hull: Incremental Variations on the Akl...
Polyhedral Template Matching algorithm for analysis of molecular dynamics simulation data - polyhedral-template-matching/ptm_convex_hull_incremental.cpp at master · pmla/polyhedral-template-matching
2.1 Clarkson et al.Algorithm One of the most e,cient and easy to implement randomized incremental algo-rithms for the construction of the 2-dimensional convex hull,which can be easily extended to higher dimensions, is due to Clarkson,Mehlhorn and Seidel [7] .A brief description of the algor...
In order to find relevant location patterns, Murphy's group proposed a method, which distinguishes between all proteins under analysis, even if they share a common location [2,23]. They use the k-means algorithm to cluster the images independently of the proteins shown. Then all images showing...
The convex hull problem is to convert from the vertex representation to the half-space representation or (equivalently by geometric duality) vice versa. Given an ordering v 1 . . . v n of the input vertices, after some initialization an incremental convex hull algorithm constructs half-space ...
convex hullplanar line intersectionsstraight line/ C1250 Pattern recognition C1160 Combinatorial mathematicsWe present an incremental convex hull computing algorithm for planar straight line intersections. Updating is done by finding the enclosing lines of the input line and their pairwise intersection ...
Žalik, B., Kolingerová, I.: An incremental construction algorithm for Delaunay triangulation using the nearest-point paradigm. International Journal of Geographical Information Science 17, 119–138 (2003)Zalik B, Kolingerova I. An incremental construction algorithm for Delaunay triangulation ...
Algorithm 3: Combine segments of two point clouds for IRIS Algorithm 4: IRIS However, unlike polygons in 2D or polyhedrons in 3D, it is not easy to define the rate of overlap of 3D point clouds. We utilize the concept of the linear classifier to quantify this factor. If there exists a...