IEEE Trans Vis Comput Graph - Flow Visualization with Quantified Spatial and Temporal Errors Using Edge Maps.

Tópicos

{ structur(1116) can(940) graph(676) }
{ problem(2511) optim(1539) algorithm(950) }
{ model(3480) simul(1196) paramet(876) }
{ imag(1947) propos(1133) code(1026) }
{ system(1050) medic(1026) inform(1018) }
{ can(774) often(719) complex(702) }
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{ data(1714) softwar(1251) tool(1186) }
{ activ(1138) subject(705) human(624) }
{ can(981) present(881) function(850) }
{ model(3404) distribut(989) bayesian(671) }
{ featur(3375) classif(2383) classifi(1994) }
{ method(1557) propos(1049) approach(1037) }
{ import(1318) role(1303) understand(862) }
{ state(1844) use(1261) util(961) }
{ intervent(3218) particip(2042) group(1664) }
{ process(1125) use(805) approach(778) }
{ sequenc(1873) structur(1644) protein(1328) }
{ result(1111) use(1088) new(759) }
{ imag(1057) registr(996) error(939) }
{ imag(2830) propos(1344) filter(1198) }
{ take(945) account(800) differ(722) }
{ treatment(1704) effect(941) patient(846) }
{ error(1145) method(1030) estim(1020) }
{ learn(2355) train(1041) set(1003) }
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{ visual(1396) interact(850) tool(830) }
{ perform(1367) use(1326) method(1137) }
{ blood(1257) pressur(1144) flow(957) }
{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ signal(2180) analysi(812) frequenc(800) }
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{ drug(1928) target(777) effect(648) }
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{ studi(1119) effect(1106) posit(819) }
{ spatial(1525) area(1432) region(1030) }
{ record(1888) medic(1808) patient(1693) }
{ health(3367) inform(1360) care(1135) }
{ monitor(1329) mobil(1314) devic(1160) }
{ ehr(2073) health(1662) electron(1139) }
{ research(1218) medic(880) student(794) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ group(2977) signific(1463) compar(1072) }
{ sampl(1606) size(1419) use(1276) }
{ first(2504) two(1366) second(1323) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ use(2086) technolog(871) perceiv(783) }
{ health(1844) social(1437) communiti(874) }
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{ survey(1388) particip(1329) question(1065) }
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{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Robust analysis of vector fields has been established as an important tool for deriving insights from the complex systems these fields model. Traditional analysis and visualization techniques rely primarily on computing streamlines through numerical integration. The inherent numerical errors of such approaches are usually ignored, leading to inconsistencies that cause unreliable visualizations and can ultimately prevent in-depth analysis. We propose a new representation for vector fields on surfaces that replaces numerical integration through triangles with maps from the triangle boundaries to themselves. This representation, called edge maps, permits a concise description of flow behaviors and is equivalent to computing all possible streamlines at a user defined error threshold. Independent of this error streamlines computed using edge maps are guaranteed to be consistent up to floating point precision, enabling the stable extraction of features such as the topological skeleton. Furthermore, our representation explicitly stores spatial and temporal errors which we use to produce more informative visualizations. This work describes the construction of edge maps, the error quantification, and a refinement procedure to adhere to a user defined error bound. Finally, we introduce new visualizations using the additional information provided by edge maps to indicate the uncertainty involved in computing streamlines and topological structures.

Resumo Limpo

robust analysi vector field establish import tool deriv insight complex system field model tradit analysi visual techniqu reli primarili comput streamlin numer integr inher numer error approach usual ignor lead inconsist caus unreli visual can ultim prevent indepth analysi propos new represent vector field surfac replac numer integr triangl map triangl boundari represent call edg map permit concis descript flow behavior equival comput possibl streamlin user defin error threshold independ error streamlin comput use edg map guarante consist float point precis enabl stabl extract featur topolog skeleton furthermor represent explicit store spatial tempor error use produc inform visual work describ construct edg map error quantif refin procedur adher user defin error bound final introduc new visual use addit inform provid edg map indic uncertainti involv comput streamlin topolog structur

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