Literature DB >> 20941628

Geometric facial comparisons in speed-check photographs.

Ursula Buck1, Silvio Naether, Kerstin Kreutz, Michael Thali.   

Abstract

In many cases, it is not possible to call the motorists to account for their considerable excess in speeding, because they deny being the driver on the speed-check photograph. An anthropological comparison of facial features using a photo-to-photo comparison can be very difficult depending on the quality of the photographs. One difficulty of that analysis method is that the comparison photographs of the presumed driver are taken with a different camera or camera lens and from a different angle than for the speed-check photo. To take a comparison photograph with exactly the same camera setup is almost impossible. Therefore, only an imprecise comparison of the individual facial features is possible. The geometry and position of each facial feature, for example the distances between the eyes or the positions of the ears, etc., cannot be taken into consideration. We applied a new method using 3D laser scanning, optical surface digitalization, and photogrammetric calculation of the speed-check photo, which enables a geometric comparison. Thus, the influence of the focal length and the distortion of the objective lens are eliminated and the precise position and the viewing direction of the speed-check camera are calculated. Even in cases of low-quality images or when the face of the driver is partly hidden, good results are delivered using this method. This new method, Geometric Comparison, is evaluated and validated in a prepared study which is described in this article.

Mesh:

Year:  2010        PMID: 20941628     DOI: 10.1007/s00414-010-0518-5

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  7 in total

1.  Computer-assisted facial image identification system using a 3-D physiognomic range finder.

Authors:  M Yoshino; H Matsuda; S Kubota; K Imaizumi; S Miyasaka
Journal:  Forensic Sci Int       Date:  2000-04-10       Impact factor: 2.395

2.  The application of anthropometric indices in forensic photography: three case studies.

Authors:  R A Halberstein
Journal:  J Forensic Sci       Date:  2001-11       Impact factor: 1.832

3.  An anatomical and photographic technique for forensic facial identification.

Authors:  G Porter; G Doran
Journal:  Forensic Sci Int       Date:  2000-11-13       Impact factor: 2.395

4.  Facial image identification using Photomodeler.

Authors:  Niels Lynnerup; Marie Andersen; Helle Petri Lauritsen
Journal:  Leg Med (Tokyo)       Date:  2003-09       Impact factor: 1.376

Review 5.  VIRTOPSY--scientific documentation, reconstruction and animation in forensic: individual and real 3D data based geo-metric approach including optical body/object surface and radiological CT/MRI scanning.

Authors:  Michael J Thali; Marcel Braun; Ursula Buck; Emin Aghayev; Christian Jackowski; Peter Vock; Martin Sonnenschein; Richard Dirnhofer
Journal:  J Forensic Sci       Date:  2005-03       Impact factor: 1.832

6.  Application of 3D documentation and geometric reconstruction methods in traffic accident analysis: with high resolution surface scanning, radiological MSCT/MRI scanning and real data based animation.

Authors:  Ursula Buck; Silvio Naether; Marcel Braun; Stephan Bolliger; Hans Friederich; Christian Jackowski; Emin Aghayev; Andreas Christe; Peter Vock; Richard Dirnhofer; Michael J Thali
Journal:  Forensic Sci Int       Date:  2006-09-25       Impact factor: 2.395

7.  Optical 3D surface digitizing in forensic medicine: 3D documentation of skin and bone injuries.

Authors:  Michael J Thali; Marcel Braun; Richard Dirnhofer
Journal:  Forensic Sci Int       Date:  2003-11-26       Impact factor: 2.395

  7 in total
  2 in total

1.  Validation and evaluation of measuring methods for the 3D documentation of external injuries in the field of forensic medicine.

Authors:  Ursula Buck; Kirsten Buße; Lorenzo Campana; Christian Schyma
Journal:  Int J Legal Med       Date:  2017-12-19       Impact factor: 2.686

2.  Skin injury model classification based on shape vector analysis.

Authors:  Emil Röhrich; Michael Thali; Wolf Schweitzer
Journal:  BMC Med Imaging       Date:  2012-11-06       Impact factor: 1.930

  2 in total

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