Photogrammetric Documentation of Regions of Interest at Autopsy—A Pilot Study

@article{Slot2014PhotogrammetricDO,
  title={Photogrammetric Documentation of Regions of Interest at Autopsy—A Pilot Study},
  author={Liselott Slot and Peter Kastmand Larsen and Niels Lynnerup},
  journal={Journal of Forensic Sciences},
  year={2014},
  volume={59}
}
In this pilot study, the authors tested whether photogrammetry can replace or supplement physical measurements made during autopsies and, based on such measurements, whether virtual computer models may be applicable in forensic reconstructions. Photogrammetric and physical measurements of markers denoting wounds on five volunteers were compared. Virtual models of the volunteers were made, and the precision of the markers' locations on the models was tested. Twelve of 13 mean differences between… 
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16 Citations
Background Citations
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Methods Citations
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16 Citations

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Citation Type

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This widespread use of the photogrammetry technique in postmortem rooms would allow in‐depth testing to detect and fix potential pitfalls, making this technique more reproducible and verifiable, increasing its admissibility in courts.
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    International Journal of Legal Medicine
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The aim of this chapter is to introduce forensic experts to the principles and applications of photogrammetry for 3D recording of crime scenes, evidence, and people (living or deceased individuals).
Empirical Evaluation of the Reliability of Photogrammetry Software in the Recovery of Three‐Dimensional Footwear Impressions
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The reliability of Structure from Motion (SfM) photogrammetry as a tool in the capture of forensic footwear marks is examined, and cloud to cloud comparisons that measure the distance between two‐point clouds are used to assess the variability between models.
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VirtoScan-on-Rails is an automated, fast and easy-to-use 3D imaging setup for autopsy suits that facilitates documenting bodies during different stages of forensic examinations and allows standardizing the procedure of photo documentation.
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Vital, selected issues occurring when assessing the accuracy of designed automatic algorithms for image analysis and processing in bioengineering are presented.
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