Registration and distance measurement of two faces.

<p>Views A and B capture original 3D scans with holes, view C faces after registration, view D relative distance from the first face to the second one, and view E vice versa. Black areas denote automatically detected non-overlapping surfaces that are omitted from the measurement.</p>

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Bibliographic Details
Main Author:	Radek Ošlejšek (21982892) (author)
Other Authors:	Petra Urbanová (21982895) (author), Jiří Sochor (21982898) (author)
Published:	2025
Subjects:	Genetics Biotechnology Evolutionary Biology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified relatively small datasets polygonal meshes automatically optimize individual steps facial scan geometry facial similarity complements computing mutual similarity solution utilizes properties introduces quadratic complexity two facial scans 3d human faces sufficiently accurate compared human faces proposed solution precise quadratic accurate approach human variation similarity measurement somatic traits quantitative assessment practically unusable possible holes paper presents n analysis mutually registered limited due geometrical alignment experiments demonstrate emerging technique direct application dimensional scans dataset must computational requirements batch processing batch n automated registration algorithm deals
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Summary:	<p>Views A and B capture original 3D scans with holes, view C faces after registration, view D relative distance from the first face to the second one, and view E vice versa. Black areas denote automatically detected non-overlapping surfaces that are omitted from the measurement.</p>

Registration and distance measurement of two faces.

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