Personal identification of the living from video surveillance systems usually involves 2D images. However, the potentiality of three-dimensional facial models in gaining personal identification through 3D-3D comparison still needs to be verified. This study aims at testing the reliability of a protocol for 3D-3D registration of facial models, potentially useful for personal identification. Fifty male subjects aged between 18 and 45 years were randomly chosen from a database of 3D facial models acquired through stereophotogrammetry. For each subject, two acquisitions were available; the 3D models of faces were then registered onto other models belonging to the same and different individuals according to the least point-to-point distance on the entire facial surface, for a total of 50 matches and 50 mismatches. RMS value (root mean square) of point-to-point distance between the two models was then calculated through the VAM (R) software. Intra- and inter-observer errors were assessed through calculation of relative technical error of measurement (rTEM). Possible statistically significant differences between matches and mismatches were assessed through Mann-Whitney test (p < 0.05). Both for intra- and inter-observer repeatability rTEM was between 2.2 and 5.2%. Average RMS point-to-point distance was 0.50 +/- 0.28 mm in matches, 2.62 +/- 0.56 mm in mismatches (p < 0.01). An RMS threshold of 1.50 mm could distinguish matches and mismatches in 100% of cases. This study provides an improvement to existing 3D-3D superimposition methods and confirms the great advantages which may derive to personal identification of the living from 3D facial analysis.

Improving 3D-3D facial registration methods: potential role of three-dimensional models in personal identification of the living / D.M. Gibelli, A. Palamenghi, P. Poppa, C. Sforza, C. Cattaneo, D. De Angelis. - In: INTERNATIONAL JOURNAL OF LEGAL MEDICINE. - ISSN 0937-9827. - 135:6(2021 Nov), pp. 2501-2507. [10.1007/s00414-021-02655-3]

Improving 3D-3D facial registration methods: potential role of three-dimensional models in personal identification of the living

D.M. Gibelli
Primo
;
A. Palamenghi
Secondo
;
P. Poppa;C. Sforza;C. Cattaneo
Penultimo
;
D. DE ANGELIS
Ultimo
2021

Abstract

Personal identification of the living from video surveillance systems usually involves 2D images. However, the potentiality of three-dimensional facial models in gaining personal identification through 3D-3D comparison still needs to be verified. This study aims at testing the reliability of a protocol for 3D-3D registration of facial models, potentially useful for personal identification. Fifty male subjects aged between 18 and 45 years were randomly chosen from a database of 3D facial models acquired through stereophotogrammetry. For each subject, two acquisitions were available; the 3D models of faces were then registered onto other models belonging to the same and different individuals according to the least point-to-point distance on the entire facial surface, for a total of 50 matches and 50 mismatches. RMS value (root mean square) of point-to-point distance between the two models was then calculated through the VAM (R) software. Intra- and inter-observer errors were assessed through calculation of relative technical error of measurement (rTEM). Possible statistically significant differences between matches and mismatches were assessed through Mann-Whitney test (p < 0.05). Both for intra- and inter-observer repeatability rTEM was between 2.2 and 5.2%. Average RMS point-to-point distance was 0.50 +/- 0.28 mm in matches, 2.62 +/- 0.56 mm in mismatches (p < 0.01). An RMS threshold of 1.50 mm could distinguish matches and mismatches in 100% of cases. This study provides an improvement to existing 3D-3D superimposition methods and confirms the great advantages which may derive to personal identification of the living from 3D facial analysis.
Personal identificationVideo surveillance systemStereophotogrammetry3D-3D registration;
Settore MED/43 - Medicina Legale
Settore BIO/16 - Anatomia Umana
nov-2021
9-lug-2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/857444
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