. . . . . "V r\u016Fzn\u00FDch oborech je pot\u0159eba pokr\u00FDvat \u010D\u00E1st roviny nebo plochy souborem n\u00E1hodn\u00FDch bodov\u00FDch vzork\u016F. Obvykle se po\u017Eaduje, aby vzorky pokr\u00FDvaly oblast nahodile, ale rovnom\u011Brn\u011B (\u010Di s p\u0159edem danou hustotou pravd\u011Bpodobnosti), aby nebyly v souboru na prvn\u00ED pohled patrn\u00E9 \u017E\u00E1dn\u00E9 pravidelnosti \u010Di vzory. P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 nejd\u016Fle\u017Eit\u011Bj\u0161\u00EDmi aspekty n\u00E1hodn\u00E9ho vzorkov\u00E1n\u00ED, p\u0159edstavuje nejzn\u00E1m\u011Bj\u0161\u00ED algoritmy, metodiku jejich porovn\u00E1v\u00E1n\u00ED a hodnocen\u00ED v\u00FDsledk\u016F (diskrepance, spektr\u00E1ln\u00ED anal\u00FDza). Z aplikac\u00ED bude zm\u00EDn\u011Bno vzorkov\u00E1n\u00ED pro Monte-Carlo integraci, rozmis\u0165ov\u00E1n\u00ED objekt\u016F v interaktivn\u00EDch aplikac\u00EDch, hr\u00E1ch nebo simulac\u00EDch, algoritmy pro te\u010Dkov\u00E1n\u00ED (tupov\u00E1n\u00ED) a p\u016Flt\u00F3nov\u00E1n\u00ED v tiska\u0159stv\u00ED."@cs . . "Jiho\u010Desk\u00E1 univerzita v \u010Cesk\u00FDch Bud\u011Bjovic\u00EDch" . . . . "Pelik\u00E1n, Josef" . "2014-09-15+02:00"^^ . . "N\u00E1hodn\u00E9 rozmis\u0165ov\u00E1n\u00ED bod\u016F v rovin\u011B"@cs . . "Random point placement in 2D"@en . "RIV/00216208:11320/14:10291115" . . "RIV/00216208:11320/14:10291115!RIV15-MSM-11320___" . . . "31405" . "Random point placement in 2D"@en . "Mitchell algorithm; Lloyd algorithm; Hammersley sequence; periodogram; discrepancy; halftoning; stippling; Poisson disk sampling; jittering; random placement; sampling"@en . . "Good methods for random placing a point set on a plane are needed in many fields - object placement in interactive games and simulations, stippling and halftoning in printing technologies or sampling in Monte-Carlo integration. Usual requirements include random look of a sample set with minimal apparent regularity, on the other hand samples should cover the domain evenly (fulfilling constant or arbitrary PDF). We will present some popular sampling algorithms together with their assesment. A couple of usual methods for measuring sampling quality (discrepancy, spectral analysis) will be discussed as well."@en . "Vlachovice" . . "\u010Cesk\u00E9 Bud\u011Bjovice" . . "1"^^ . "V r\u016Fzn\u00FDch oborech je pot\u0159eba pokr\u00FDvat \u010D\u00E1st roviny nebo plochy souborem n\u00E1hodn\u00FDch bodov\u00FDch vzork\u016F. Obvykle se po\u017Eaduje, aby vzorky pokr\u00FDvaly oblast nahodile, ale rovnom\u011Brn\u011B (\u010Di s p\u0159edem danou hustotou pravd\u011Bpodobnosti), aby nebyly v souboru na prvn\u00ED pohled patrn\u00E9 \u017E\u00E1dn\u00E9 pravidelnosti \u010Di vzory. P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 nejd\u016Fle\u017Eit\u011Bj\u0161\u00EDmi aspekty n\u00E1hodn\u00E9ho vzorkov\u00E1n\u00ED, p\u0159edstavuje nejzn\u00E1m\u011Bj\u0161\u00ED algoritmy, metodiku jejich porovn\u00E1v\u00E1n\u00ED a hodnocen\u00ED v\u00FDsledk\u016F (diskrepance, spektr\u00E1ln\u00ED anal\u00FDza). Z aplikac\u00ED bude zm\u00EDn\u011Bno vzorkov\u00E1n\u00ED pro Monte-Carlo integraci, rozmis\u0165ov\u00E1n\u00ED objekt\u016F v interaktivn\u00EDch aplikac\u00EDch, hr\u00E1ch nebo simulac\u00EDch, algoritmy pro te\u010Dkov\u00E1n\u00ED (tupov\u00E1n\u00ED) a p\u016Flt\u00F3nov\u00E1n\u00ED v tiska\u0159stv\u00ED." . . "N\u00E1hodn\u00E9 rozmis\u0165ov\u00E1n\u00ED bod\u016F v rovin\u011B"@cs . "N\u00E1hodn\u00E9 rozmis\u0165ov\u00E1n\u00ED bod\u016F v rovin\u011B" . "I" . . "N\u00E1hodn\u00E9 rozmis\u0165ov\u00E1n\u00ED bod\u016F v rovin\u011B" . "Sborn\u00EDk p\u0159\u00EDsp\u011Bvk\u016F 34. konference o geometrii a grafice" . . "[925F80BE7687]" . "http://csgg.cz/34sykovec/sbornik_2014.pdf" . "26"^^ . "1"^^ . . . . "978-80-7394-470-4" . "11320" .