Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?. (September 2016)
- Record Type:
- Journal Article
- Title:
- Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?. (September 2016)
- Main Title:
- Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
- Authors:
- Herrera, Lara Maria
Strapasson, Raíssa Ananda Paim
da Silva, Jorge Vicente Lopes
Melani, Rodolfo Francisco Haltenhoff - Abstract:
- Highlights: FSTT data obtained from imaging may not facilitate recognition and establish acceptable level of resemblance. The sex of assessors does not influence the recognition process. Knowledge on Human Anatomy and Forensic Dentistry has no effect on recognition. A combined data of FSTT datasets for Brazilians is proposed. Abstract: Facial soft tissue thicknesses (FSTT) are important guidelines for modeling faces from skull. Amid so many FSTT data, Forensic artists have to make a subjective choice of a dataset that best meets their needs. This study investigated the performance of four FSTT datasets in the recognition and resemblance of Brazilian living individuals and the performance of assessors in recognizing people, according to sex and knowledge on Human Anatomy and Forensic Dentistry. Sixteen manual facial approximations (FAs) were constructed using three-dimensional (3D) prototypes of skulls (targets). The American method was chosen for the construction of the faces. One hundred and twenty participants evaluated all FAs by means of recognition and resemblance tests. This study showed higher proportions of recognition by FAs conducted with FSTT data from cadavers compared with those conducted with medical imaging data. Targets were also considered more similar to FAs conducted with FSTT data from cadavers. Nose and face shape, respectively, were considered the most similar regions to targets. The sex of assessors (male and female) and the knowledge on Human AnatomyHighlights: FSTT data obtained from imaging may not facilitate recognition and establish acceptable level of resemblance. The sex of assessors does not influence the recognition process. Knowledge on Human Anatomy and Forensic Dentistry has no effect on recognition. A combined data of FSTT datasets for Brazilians is proposed. Abstract: Facial soft tissue thicknesses (FSTT) are important guidelines for modeling faces from skull. Amid so many FSTT data, Forensic artists have to make a subjective choice of a dataset that best meets their needs. This study investigated the performance of four FSTT datasets in the recognition and resemblance of Brazilian living individuals and the performance of assessors in recognizing people, according to sex and knowledge on Human Anatomy and Forensic Dentistry. Sixteen manual facial approximations (FAs) were constructed using three-dimensional (3D) prototypes of skulls (targets). The American method was chosen for the construction of the faces. One hundred and twenty participants evaluated all FAs by means of recognition and resemblance tests. This study showed higher proportions of recognition by FAs conducted with FSTT data from cadavers compared with those conducted with medical imaging data. Targets were also considered more similar to FAs conducted with FSTT data from cadavers. Nose and face shape, respectively, were considered the most similar regions to targets. The sex of assessors (male and female) and the knowledge on Human Anatomy and Forensic Dentistry did not play a determinant role to reach greater recognition rates. It was possible to conclude that FSTT data obtained from imaging may not facilitate recognition and establish acceptable level of resemblance. Grouping FSTT data by regions of the face, as proposed in this paper, may contribute to more accurate FAs. … (more)
- Is Part Of:
- Forensic science international. Volume 266(2016)
- Journal:
- Forensic science international
- Issue:
- Volume 266(2016)
- Issue Display:
- Volume 266, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 266
- Issue:
- 2016
- Issue Sort Value:
- 2016-0266-2016-0000
- Page Start:
- 311
- Page End:
- 319
- Publication Date:
- 2016-09
- Subjects:
- Forensic science -- Forensic dentistry -- Facial approximation -- Facial reconstruction -- Facial tissue depths -- Face recognition
Medical jurisprudence -- Periodicals
Chemistry, Forensic -- Periodicals
Forensic Medicine -- Periodicals
Médecine légale -- Périodiques
Chimie légale -- Périodiques
Gerechtelijke geneeskunde
Gerechtelijke chemie
Gerechtelijke psychiatrie
Chemistry, Forensic
Medical jurisprudence
Electronic journals
Periodicals
Electronic journals
614.1 - Journal URLs:
- http://www.clinicalkey.com.au/dura/browse/journalIssue/03790738 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/03790738 ↗
http://www.sciencedirect.com/science/journal/03790738 ↗
http://infotrac.galegroup.com/itw/infomark/1/1/1/purl=rc18_EAIM_0__jn+%22Forensic+Science+International%22?sw_aep=stand ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.forsciint.2016.06.015 ↗
- Languages:
- English
- ISSNs:
- 0379-0738
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3987.764000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7379.xml