2011
DOI: 10.1016/j.forsciint.2011.01.035
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Metric and morphological assessment of facial features: A study on three European populations

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Cited by 50 publications
(31 citation statements)
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“…Contributing to the hypothesis of regional variation, Ritz-Timme et al (RITZ-TIMME et al, 2011) described measures of 3 different European population: 300 Germans, 300 Italians and 300 Lithuanian. In their results a considerable amount of differences was observed, in a small geographic region inside Europe, which also infer a concern with the use of the same standards to every population.…”
Section: Discussionmentioning
confidence: 99%
“…Contributing to the hypothesis of regional variation, Ritz-Timme et al (RITZ-TIMME et al, 2011) described measures of 3 different European population: 300 Germans, 300 Italians and 300 Lithuanian. In their results a considerable amount of differences was observed, in a small geographic region inside Europe, which also infer a concern with the use of the same standards to every population.…”
Section: Discussionmentioning
confidence: 99%
“…The personal identification of facial images employs three main methods: morphological comparison [1][2][3][4][5][6][7][8], comparison of anthropometric indices [1][2][3][4][7][8][9][10][11], and face-to-face superimposition (which can be divided into two-dimensional (2D)/2D or 2D/three-dimensional (3D) facial image superimposition) [1][2][3][4][12][13][14][15][16][17][18]. The first and second of these methods have been applied as the traditional approaches in this field.…”
Section: Introductionmentioning
confidence: 99%
“…Irregular variations of samples such as those described above make studies extremely difficult. Although this is a worrisome problem, the important point is that we must apply any method as carefully as possible by referring to statistically adequate anthropological population data; e.g., the frequency of appearance of morphological features and basic statistics of anthropometric measurements are needed to understand the population-specific anthropological variations [5,7,8]. Using these standard reference data, valuable facial features (i.e., features that are not common in the subject population) are observed and assessed for personal identification.…”
Section: Introductionmentioning
confidence: 99%
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“…A c c e p t e d M a n u s c r i p t Therefore, many facial recognition systems and methods have concentrated on moving towards metrics (Cattaneo et al 2012) or a combination of metrics and descriptives (Klare & Jain 2010;Ritz-Timme et al 2011). Facial recognition methods which use metrics alone or metrics and descriptives report high accuracy rates (>95%) (Turk & Pentland 1991, Belhumeur, Hespanha & Kriegman 1997.…”
Section: Introductionmentioning
confidence: 99%