Functional Data Analysis and Visualisation of Three-Dimensional Surface Shape
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F21%3A00542813" target="_blank" >RIV/67985807:_____/21:00542813 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216224:14310/21:00121551
Výsledek na webu
<a href="http://dx.doi.org/10.1111/rssc.12482" target="_blank" >http://dx.doi.org/10.1111/rssc.12482</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/rssc.12482" target="_blank" >10.1111/rssc.12482</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Functional Data Analysis and Visualisation of Three-Dimensional Surface Shape
Popis výsledku v původním jazyce
The advent of high-resolution imaging has made data on surface shape widespread. Methods for the analysis of shape based on landmarks are well established but high-resolution data require a functional approach. The starting point is a systematic and consistent description of each surface shape and a method for creating this is described. Three innovative forms of analysis are then introduced. The first uses surface integration to address issues of registration, principal component analysis and the measurement of asymmetry, all in functional form. Computational issues are handled through discrete approximations to integrals, based in this case on appropriate surface area weighted sums. The second innovation is to focus on sub-spaces where interesting behaviour such as group differences are exhibited, rather than on individual principal components. The third innovation concerns the comparison of individual shapes with a relevant control set, where the concept of a normal range is extended to the highly multivariate setting of surface shape. This has particularly strong applications to medical contexts where the assessment of individual patients is very important. All of these ideas are developed and illustrated in the important context of human facial shape, with a strong emphasis on the effective visual communication of effects of interest.
Název v anglickém jazyce
Functional Data Analysis and Visualisation of Three-Dimensional Surface Shape
Popis výsledku anglicky
The advent of high-resolution imaging has made data on surface shape widespread. Methods for the analysis of shape based on landmarks are well established but high-resolution data require a functional approach. The starting point is a systematic and consistent description of each surface shape and a method for creating this is described. Three innovative forms of analysis are then introduced. The first uses surface integration to address issues of registration, principal component analysis and the measurement of asymmetry, all in functional form. Computational issues are handled through discrete approximations to integrals, based in this case on appropriate surface area weighted sums. The second innovation is to focus on sub-spaces where interesting behaviour such as group differences are exhibited, rather than on individual principal components. The third innovation concerns the comparison of individual shapes with a relevant control set, where the concept of a normal range is extended to the highly multivariate setting of surface shape. This has particularly strong applications to medical contexts where the assessment of individual patients is very important. All of these ideas are developed and illustrated in the important context of human facial shape, with a strong emphasis on the effective visual communication of effects of interest.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10103 - Statistics and probability
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of the Royal Statistical Society Series C-Applied Statistics
ISSN
0035-9254
e-ISSN
1467-9876
Svazek periodika
70
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
23
Strana od-do
691-713
Kód UT WoS článku
000647418500001
EID výsledku v databázi Scopus
2-s2.0-85105171470