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Estimating the Skull-to-Camera Distance from Facial Photographs for Craniofacial Superimposition
Abstract
The overlay of a skull and a face image for identification purposes requires similar subject‐to‐camera distances ( SCD ) to be used at both photographic sessions so that differences in perspective do not compromise the anatomical comparisons. As the facial photograph is the reference standard, it is crucial to determine its SCD first and apply this value to photography of the skull. So far, such a method for estimating the SCD has been elusive (some say impossible), compromising the technical validity of the superimposition procedure. This paper tests the feasibility of using the palpebral fissure length and a well‐established photographic algorithm to accurately estimate the SCD from the facial photograph. Recordings at known SCD across a 1–10 m range (repeated under two test conditions) demonstrate that the newly formulated method works: a mean SCD estimation error of 7% that translates into <1% perspective distortion error between estimated and actual conditions.
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For classification schemes to be effective, they need to be tailored to specific populations, which has only been considered by two studies to date.
“In addition, for classification schemes to be effective, they need to be tailored to specific populations, which has only been considered by two studies to date [58,127].”
From Forensic Facial Comparison: Current Status, Limitations, and Future Directions (2021) · cites this paper as [127]
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Cited by
Sorted by citations
Forensic Facial Comparison: Current Status, Limitations, and Future Directions
Bacci, N., Davimes, J. G., Steyn, M., & Briers, N. (2021) · Biology · doi:10.3390/biology10121269 · Cited by 26
Metadata
- Authors
- Stephan, C. N.
- Affiliations
- Laboratory for Human Craniofacial and Skeletal Identification (HuCS‐ID Lab) School of Biomedical Sciences The University of Queensland Brisbane 4072 Australia
- ORCID
- Stephan, Carl N.
- Venue
- Journal of Forensic Sciences
- Publisher
- Wiley
- Published
- 2017-01-18
- Volume
- 62
- Issue
- 4
- Pages
- 850-860
- ISSN
- 0022-1198
- 1556-4029
- Cited by
- 21
- References
- 0
- Language
- en
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