A new method of presosns identification based on comparative analysis of 3D face models

Katarzyna Bobkowska; Artur Janowski; Marek Przyborski; Jakub Szulwic

A new method of presosns identification based on comparative analysis of 3D face models

Abstract

The article presents the use of modern close range photogrammetry for possessing highly accurate 3D models of the human face (including the ears). Modern methods used to obtain precise data describing the construction of a human face, and even the whole human body, should allow to get finished measurement material in a very short time. Those features belong to the optical scanning technology. Comparative analysis of models of the human face has been made (created from the cloud of points obtained from optical scanner) for the same person as well as for two different persons. Among other things, the parameters describing the similarity of a human face (in particular, the similarity of the human ear) based primarily on the analysis of the differences between the points of the model (comparison of several hundred thousand points on the model) were determined. Ultimately, these parameters can be used to identify persons. Considering the great opportunities presented methods, other potential applications have been presented.

Authors (4)

Katarzyna Bobkowska dr inż.
Artur Janowski
- Uniwersytet Warmińsko-Mazurski w Olsztynie, Wydział Geodezji, Inżynierii Przestrzennej i Budownictwa Instytut Geodezji
Marek Przyborski dr hab. inż.
Jakub Szulwic dr inż.

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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: INFORMATICS, GEOINFORMATICS AND REMOTE SENSING CONFERENCE PROCEEDINGS, SGEM 2016 strony 767 - 774
ISSN:: 1314-2704
Language:: English
Publication year:: 2016
Bibliographic description:: Bobkowska K., Janowski A., Przyborski M., Szulwic J..: A new method of presosns identification based on comparative analysis of 3D face models, W: INFORMATICS, GEOINFORMATICS AND REMOTE SENSING CONFERENCE PROCEEDINGS, SGEM 2016, 2016, STEF92 TECHNOLOGY LTD,,.
Verified by:: Gdańsk University of Technology