LEADER 01804nam 2200493 450 001 9910574064503321 005 20221218161011.0 010 $a3-030-96110-9 035 $a(MiAaPQ)EBC7008972 035 $a(Au-PeEL)EBL7008972 035 $a(CKB)23231030300041 035 $aEBL7008972 035 $a(AU-PeEL)EBL7008972 035 $a(EXLCZ)9923231030300041 100 $a20221218d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTowards optimal point cloud processing for 3D reconstruction /$fGuoxiang Zhang and YangQuan Chen 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (xix, 87 pages) $cillustrations 225 1 $aSpringerBriefs in electrical and computer engineering. SpringerBriefs in signal processing,$x2196-4084 311 08$aPrint version: Zhang, Guoxiang Towards Optimal Point Cloud Processing for 3D Reconstruction Cham : Springer International Publishing AG,c2022 9783030961091 320 $aIncludes bibliographical references and index. 410 0$aSpringerBriefs in electrical and computer engineering.$pSignal processing. 606 $aSignal processing$xMathematics 606 $aSignal detection 606 $aThree-dimensional imaging 615 0$aSignal processing$xMathematics. 615 0$aSignal detection. 615 0$aThree-dimensional imaging. 676 $a621.3822 700 $aZhang$b Guoxiang$f1939-$01271591 702 $aChen$b YangQuan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910574064503321 996 $aTowards optimal point cloud processing for 3D reconstruction$92995537 997 $aUNINA