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001 9910450177003321
005 20200520144314.0
010   $a1-281-87674-7
010   $a9786611876746
010   $a981-256-312-1
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035   $a(EBL)224820
035   $a(OCoLC)614839324
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035   $a(PQKBTitleCode)TC0000239029
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100   $a20050727d2005      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aRobust range image registration$b[electronic resource] $eusing genetic algorithms and the surface interpenetration measure /$fLuciano Silva and Olga R.P. Bellon, Kim L. Boyer
210   $aHackensack, N.J. $cWorld Scientific$dc2005
215   $a1 online resource (173 p.)
225 1 $aSeries in machine perception and artificial intelligence ;$vv. 60
300   $aDescription based upon print version of record.
311   $a981-256-108-0 
320   $aIncludes bibliographical references (p. 157-162) and index.
327   $aPreface; Contents; Introduction; Range Image Registration; Surface Interpenetration Measure (SIM); Range Image Registration using Genetic Algorithms; Robust Range Registration by Robust Range Registration by; Multiview Range Image Registration; Closing Comments; Appendix - Experimental Results; Bibliography; Index
330   $aThis book addresses the range image registration problem for automatic 3D model construction. The focus is on obtaining highly precise alignments between different view pairs of the same object to avoid 3D model distortions; in contrast to most prior work, the view pairs may exhibit relatively little overlap and need not be prealigned.
410  0$aSeries in machine perception and artificial intelligence ;$vv. 60.
606   $aComputer simulation
606   $aMathematical models
608   $aElectronic books.
615  0$aComputer simulation.
615  0$aMathematical models.
676   $a003/.3
700   $aSilva$b Luciano Afonso da$f1973-$0896063
701   $aBellon$b Olga R. P$0896064
701   $aBoyer$b Kim L$0896065
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910450177003321
996   $aRobust range image registration$92001741
997   $aUNINA