Anatomical curve identification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F15%3A00082395" target="_blank" >RIV/00216224:14310/15:00082395 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0167947314003557" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0167947314003557</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.csda.2014.12.007" target="_blank" >10.1016/j.csda.2014.12.007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Anatomical curve identification

Popis výsledku v původním jazyce

Methods for capturing images in three dimensions are now widely available, with stereophotogrammetry and laser scanning being two common approaches. In anatomical studies, a number of landmarks are usually identified manually from each of these images and these form the basis of subsequent statistical analysis. However, landmarks express only a very small proportion of the information available from the images. Anatomically defined curves have the advantage of providing a much richer expression of shape. This is explored in the context of identifying the boundary of breasts from an image of the female torso and the boundary of the lips from a facial image. The curves of interest are characterised by ridges or valleys. Key issues in estimation are the ability to navigate across the anatomical surface in three-dimensions, the ability to recognise the relevant boundary and the need to assess the evidence for the presence of the surface feature of interest.

Název v anglickém jazyce

Anatomical curve identification

Popis výsledku anglicky

Methods for capturing images in three dimensions are now widely available, with stereophotogrammetry and laser scanning being two common approaches. In anatomical studies, a number of landmarks are usually identified manually from each of these images and these form the basis of subsequent statistical analysis. However, landmarks express only a very small proportion of the information available from the images. Anatomically defined curves have the advantage of providing a much richer expression of shape. This is explored in the context of identifying the boundary of breasts from an image of the female torso and the boundary of the lips from a facial image. The curves of interest are characterised by ridges or valleys. Key issues in estimation are the ability to navigate across the anatomical surface in three-dimensions, the ability to recognise the relevant boundary and the need to assess the evidence for the presence of the surface feature of interest.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computational Statistics & Data Analysis

ISSN

0167-9473

e-ISSN

—

Svazek periodika

86

Číslo periodika v rámci svazku

JUNE

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

13

Strana od-do

52-64

Kód UT WoS článku

000352250900005

EID výsledku v databázi Scopus

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