Space subdivision to speed-up convex hull construction in E3

•Algorithm for computing the convex hull of a set of points in E3 we are proposed.•The algorithm is based on spherical space subdivision.•The algorithm eliminates as many input points as possible before the convex hull calculation.•Experimental results show that the proposed algorithm achieves a bet...

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Published inAdvances in engineering software (1992) Vol. 91; pp. 12 - 22
Main Authors Skala, Vaclav, Majdisova, Zuzana, Smolik, Michal
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.2016
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ISSN0965-9978
DOI10.1016/j.advengsoft.2015.09.002

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Abstract •Algorithm for computing the convex hull of a set of points in E3 we are proposed.•The algorithm is based on spherical space subdivision.•The algorithm eliminates as many input points as possible before the convex hull calculation.•Experimental results show that the proposed algorithm achieves a better time complexity in comparison with other algorithms in E3. Convex hulls are fundamental geometric tools used in a number of algorithms. This paper presents a fast, simple to implement and robust Smart Convex Hull (S-CH) algorithm for computing the convex hull of a set of points in E3. This algorithm is based on “spherical” space subdivision. The main idea of the S-CH algorithm is to eliminate as many input points as possible before the convex hull construction. The experimental results show that only a very small number of points are used for the final convex hull calculation. Experiments made also proved that the proposed S-CH algorithm achieves a better time complexity in comparison with other algorithms in E3.
AbstractList •Algorithm for computing the convex hull of a set of points in E3 we are proposed.•The algorithm is based on spherical space subdivision.•The algorithm eliminates as many input points as possible before the convex hull calculation.•Experimental results show that the proposed algorithm achieves a better time complexity in comparison with other algorithms in E3. Convex hulls are fundamental geometric tools used in a number of algorithms. This paper presents a fast, simple to implement and robust Smart Convex Hull (S-CH) algorithm for computing the convex hull of a set of points in E3. This algorithm is based on “spherical” space subdivision. The main idea of the S-CH algorithm is to eliminate as many input points as possible before the convex hull construction. The experimental results show that only a very small number of points are used for the final convex hull calculation. Experiments made also proved that the proposed S-CH algorithm achieves a better time complexity in comparison with other algorithms in E3.
Convex hulls are fundamental geometric tools used in a number of algorithms. This paper presents a fast, simple to implement and robust Smart Convex Hull (S-CH) algorithm for computing the convex hull of a set of points in E 3. This algorithm is based on "spherical" space subdivision. The main idea of the S-CH algorithm is to eliminate as many input points as possible before the convex hull construction. The experimental results show that only a very small number of points are used for the final convex hull calculation. Experiments made also proved that the proposed S-CH algorithm achieves a better time complexity in comparison with other algorithms in E 3.
Author Majdisova, Zuzana
Skala, Vaclav
Smolik, Michal
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10.1007/BF02712873
10.1137/0221031
10.1016/0020-0190(84)90084-X
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10.1145/359423.359430
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Keywords Initial convex polyhedron
Convex hull
Points reduction
Space subdivision
Approximated angle
Points distribution
Language English
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References Clarkson, Shor (bib0003) 1989; 4
Amato, Preparata (bib0013) 1992; 2
Amato, Goodrich, Ramos (bib0015) 1994
Barber, Dobkin, Huhdanpaa (bib0004) 1996; 22
Stein, Geva, El-Sana (bib0010) 2012; 36
Chow (bib0012) 1980
Chand, Kapur (bib0001) 1970; 17
Kallay (bib0005) 1984; 19
Sugihara (bib0007) 1994; 49
Chan (bib0006) 1996; 16
Fasshauer (bib0008) 2007
Amenta, Choi, Rote (bib0019) 2003
Yan, Zhao, Ng, Liu (bib0018) 2015; 27
Preparata, Hong (bib0002) 1977; 20
Yaacoub, Hamam, Abche, Fares (bib0009) 2006
Gupta, Sen (bib0011) 2003; 63
Reif, Sen (bib0014) 1992; 21
Edalat, Lieutier, Kashe (bib0016) 2001
Gao, Cao, Nanjappa, Tan, Huang (bib0017) 2013; 40
Chand (10.1016/j.advengsoft.2015.09.002_bib0001) 1970; 17
Reif (10.1016/j.advengsoft.2015.09.002_bib0014) 1992; 21
Yan (10.1016/j.advengsoft.2015.09.002_bib0018) 2015; 27
Stein (10.1016/j.advengsoft.2015.09.002_bib0010) 2012; 36
Edalat (10.1016/j.advengsoft.2015.09.002_bib0016) 2001
Chow (10.1016/j.advengsoft.2015.09.002_bib0012) 1980
Barber (10.1016/j.advengsoft.2015.09.002_bib0004) 1996; 22
Preparata (10.1016/j.advengsoft.2015.09.002_bib0002) 1977; 20
Chan (10.1016/j.advengsoft.2015.09.002_bib0006) 1996; 16
Amato (10.1016/j.advengsoft.2015.09.002_bib0015) 1994
Gao (10.1016/j.advengsoft.2015.09.002_bib0017) 2013; 40
Yaacoub (10.1016/j.advengsoft.2015.09.002_bib0009) 2006
Gupta (10.1016/j.advengsoft.2015.09.002_bib0011) 2003; 63
Amenta (10.1016/j.advengsoft.2015.09.002_bib0019) 2003
Kallay (10.1016/j.advengsoft.2015.09.002_bib0005) 1984; 19
Amato (10.1016/j.advengsoft.2015.09.002_bib0013) 1992; 2
Sugihara (10.1016/j.advengsoft.2015.09.002_bib0007) 1994; 49
Clarkson (10.1016/j.advengsoft.2015.09.002_bib0003) 1989; 4
Fasshauer (10.1016/j.advengsoft.2015.09.002_bib0008) 2007
References_xml – start-page: 3308
  year: 2006
  end-page: 3313
  ident: bib0009
  article-title: Convex hull in medical simulations: a new hybrid approach
  publication-title: IECON 2006—32nd annual conference on IEEE industrial electronics
– volume: 2
  start-page: 163
  year: 1992
  end-page: 173
  ident: bib0013
  article-title: The parallel 3D convex hull problem revisited
  publication-title: Int J Comput Geom Appl
– volume: 17
  start-page: 78
  year: 1970
  end-page: 86
  ident: bib0001
  article-title: An algorithm for convex polytopes
  publication-title: JACM
– volume: 36
  start-page: 265
  year: 2012
  end-page: 271
  ident: bib0010
  article-title: CudaHull: fast parallel 3D convex hull on the GPU
  publication-title: Comput Graph
– volume: 4
  start-page: 387
  year: 1989
  end-page: 421
  ident: bib0003
  article-title: Applications of random sampling in computational geometry, II
  publication-title: Discrete Comput Geom
– volume: 49
  start-page: 391
  year: 1994
  end-page: 407
  ident: bib0007
  article-title: Robust Gift Wrapping for the three-dimensional convex hull
  publication-title: J Comput Syst Sci
– volume: 20
  start-page: 87
  year: 1977
  end-page: 93
  ident: bib0002
  article-title: Convex hulls of finite sets of points in two and three dimensions
  publication-title: Commun ACM
– start-page: 211
  year: 2003
  end-page: 219
  ident: bib0019
  article-title: Incremental constructions con BRIO
  publication-title: Proceedings of the 19th annual symposium on computational geometry
– volume: 63
  start-page: 488
  year: 2003
  end-page: 500
  ident: bib0011
  article-title: Faster output-sensitive parallel algorithms for 3D convex hulls and vector maxima
  publication-title: J Parallel Distr Comput
– volume: 27
  start-page: 852
  year: 2015
  end-page: 865
  ident: bib0018
  article-title: Probabilistic convex hull queries over uncertain data
  publication-title: IEEE Transac Knowl Data Eng
– start-page: 93
  year: 2001
  end-page: 96
  ident: bib0016
  article-title: The convex hull in a new model of computation
  publication-title: Proceeding of the 13th Canadian conference on computational geometry.
– year: 1980
  ident: bib0012
  article-title: Parallel algorithms for geometric problems [PhD thesis]
– volume: 22
  start-page: 469
  year: 1996
  end-page: 483
  ident: bib0004
  article-title: The quickhull algorithm for convex hulls
  publication-title: ACM TOMS
– year: 2007
  ident: bib0008
  article-title: Meshfree approximation methods with MATLAB
– volume: 21
  start-page: 466
  year: 1992
  end-page: 485
  ident: bib0014
  article-title: Optimal parallel randomized algorithms for three-dimensional convex hulls and related problems
  publication-title: SIAM J Comput
– volume: 40
  year: 2013
  ident: bib0017
  article-title: gHull: a GPU algorithm for 3D convex hull
  publication-title: ACM TOMS
– volume: 16
  start-page: 361
  year: 1996
  end-page: 368
  ident: bib0006
  article-title: Optimal output-sensitive convex hull algorithms in two and three dimensions
  publication-title: Discrete Comput Geom
– start-page: 683
  year: 1994
  end-page: 694
  ident: bib0015
  article-title: Parallel algorithms for higher-dimensional convex hulls
  publication-title: Proceeding of foundations of computer science
– volume: 19
  start-page: 197
  year: 1984
  ident: bib0005
  article-title: The complexity of incremental convex hull algorithms in Rd
  publication-title: Inform Proc Lett
– volume: 4
  start-page: 387
  issue: 1
  year: 1989
  ident: 10.1016/j.advengsoft.2015.09.002_bib0003
  article-title: Applications of random sampling in computational geometry, II
  publication-title: Discrete Comput Geom
  doi: 10.1007/BF02187740
– volume: 63
  start-page: 488
  issue: 4
  year: 2003
  ident: 10.1016/j.advengsoft.2015.09.002_bib0011
  article-title: Faster output-sensitive parallel algorithms for 3D convex hulls and vector maxima
  publication-title: J Parallel Distr Comput
  doi: 10.1016/S0743-7315(03)00035-2
– volume: 27
  start-page: 852
  issue: 3
  year: 2015
  ident: 10.1016/j.advengsoft.2015.09.002_bib0018
  article-title: Probabilistic convex hull queries over uncertain data
  publication-title: IEEE Transac Knowl Data Eng
  doi: 10.1109/TKDE.2014.2340408
– volume: 2
  start-page: 163
  issue: 2
  year: 1992
  ident: 10.1016/j.advengsoft.2015.09.002_bib0013
  article-title: The parallel 3D convex hull problem revisited
  publication-title: Int J Comput Geom Appl
  doi: 10.1142/S021819599200010X
– volume: 49
  start-page: 391
  issue: 2
  year: 1994
  ident: 10.1016/j.advengsoft.2015.09.002_bib0007
  article-title: Robust Gift Wrapping for the three-dimensional convex hull
  publication-title: J Comput Syst Sci
  doi: 10.1016/S0022-0000(05)80056-X
– volume: 22
  start-page: 469
  issue: 4
  year: 1996
  ident: 10.1016/j.advengsoft.2015.09.002_bib0004
  article-title: The quickhull algorithm for convex hulls
  publication-title: ACM TOMS
  doi: 10.1145/235815.235821
– start-page: 3308
  year: 2006
  ident: 10.1016/j.advengsoft.2015.09.002_bib0009
  article-title: Convex hull in medical simulations: a new hybrid approach
– volume: 40
  issue: 1
  year: 2013
  ident: 10.1016/j.advengsoft.2015.09.002_bib0017
  article-title: gHull: a GPU algorithm for 3D convex hull
  publication-title: ACM TOMS
  doi: 10.1145/2513109.2513112
– volume: 16
  start-page: 361
  issue: 4
  year: 1996
  ident: 10.1016/j.advengsoft.2015.09.002_bib0006
  article-title: Optimal output-sensitive convex hull algorithms in two and three dimensions
  publication-title: Discrete Comput Geom
  doi: 10.1007/BF02712873
– year: 1980
  ident: 10.1016/j.advengsoft.2015.09.002_bib0012
– start-page: 683
  year: 1994
  ident: 10.1016/j.advengsoft.2015.09.002_bib0015
  article-title: Parallel algorithms for higher-dimensional convex hulls
– volume: 21
  start-page: 466
  issue: 3
  year: 1992
  ident: 10.1016/j.advengsoft.2015.09.002_bib0014
  article-title: Optimal parallel randomized algorithms for three-dimensional convex hulls and related problems
  publication-title: SIAM J Comput
  doi: 10.1137/0221031
– volume: 19
  start-page: 197
  issue: 4
  year: 1984
  ident: 10.1016/j.advengsoft.2015.09.002_bib0005
  article-title: The complexity of incremental convex hull algorithms in Rd
  publication-title: Inform Proc Lett
  doi: 10.1016/0020-0190(84)90084-X
– year: 2007
  ident: 10.1016/j.advengsoft.2015.09.002_bib0008
– start-page: 211
  year: 2003
  ident: 10.1016/j.advengsoft.2015.09.002_bib0019
  article-title: Incremental constructions con BRIO
– volume: 17
  start-page: 78
  issue: 1
  year: 1970
  ident: 10.1016/j.advengsoft.2015.09.002_bib0001
  article-title: An algorithm for convex polytopes
  publication-title: JACM
  doi: 10.1145/321556.321564
– start-page: 93
  year: 2001
  ident: 10.1016/j.advengsoft.2015.09.002_bib0016
  article-title: The convex hull in a new model of computation
– volume: 20
  start-page: 87
  issue: 2
  year: 1977
  ident: 10.1016/j.advengsoft.2015.09.002_bib0002
  article-title: Convex hulls of finite sets of points in two and three dimensions
  publication-title: Commun ACM
  doi: 10.1145/359423.359430
– volume: 36
  start-page: 265
  issue: 4
  year: 2012
  ident: 10.1016/j.advengsoft.2015.09.002_bib0010
  article-title: CudaHull: fast parallel 3D convex hull on the GPU
  publication-title: Comput Graph
  doi: 10.1016/j.cag.2012.02.012
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Snippet •Algorithm for computing the convex hull of a set of points in E3 we are proposed.•The algorithm is based on spherical space subdivision.•The algorithm...
Convex hulls are fundamental geometric tools used in a number of algorithms. This paper presents a fast, simple to implement and robust Smart Convex Hull...
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StartPage 12
SubjectTerms Algorithms
Approximated angle
Computational geometry
Computer programs
Construction
Convex hull
Convexity
Hulls (structures)
Initial convex polyhedron
Mathematical analysis
Points distribution
Points reduction
Space subdivision
Subdivisions
Title Space subdivision to speed-up convex hull construction in E3
URI https://dx.doi.org/10.1016/j.advengsoft.2015.09.002
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