2019
Comparism of different statistical models used in shape index calculation
ŠINDLÁŘ, Vojtěch and Stanislav KATINABasic information
Original name
Comparism of different statistical models used in shape index calculation
Name in Czech
Porovnání rozdílných statistických modelů ve výpočtu tvarového indexu
Name (in English)
Comparism of different statistical models used in shape index calculation
Authors
ŠINDLÁŘ, Vojtěch and Stanislav KATINA
Edition
ODAM 2019, 2019
Other information
Type of outcome
Presentations at conferences
Confidentiality degree
is not subject to a state or trade secret
Keywords (in Czech)
tvarový index, triangulace, lidské tváře, lineární statistické modely, hlavní křivosti,
Keywords in English
shape index, triangulation, human faces, linear statistical models, principal curvatures
Changed: 8/6/2024 17:18, Mgr. Vojtěch Šindlář
Abstract
In the original language
Shape index, the measure of local surface topology, is calculated using several different linear statistical models of z coordinates on x and y coordinates, i.e. quadratic with interaction without and with intercept, cubic with interaction of x and y without and with intercept (with and without other interactions), and similar models of higher order. The estimates of regression coefficients related to the quadratic terms and their interaction are elements of Weingarten matrix from which the principal curvatures are calculated. Our data contain stereo-photogrammetry images of human faces. We used one control (healthy) patient and one facial palsy patient to demonstrate differenties of selected linear models. The results are compared numerically and visually by static images of the human face in different views, i.e. frontal, lateral and vertical. All statistical analyses and visualisations are performed in R.
Links
| MUNI/A/1503/2018, interní kód MU |
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