2018
DOI: 10.1109/tifs.2018.2791434
|View full text |Cite
|
Sign up to set email alerts
|

Modeling Skull-Face Anatomical/Morphological Correspondence for Craniofacial Superimposition-Based Identification

Abstract: Abstract-Craniofacial superimposition (CFS) is a forensic identification technique which studies the anatomical and morphological correspondence between a skull and a face. It involves the process of overlaying a variable number of facial images with the skull. This technique has great potential since nowadays the wide majority of the people have photographs where their faces are clearly visible. In addition, the skull is a bone that hardly degrades under the effect of fire, humidity, temperature changes, etc.… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
18
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 16 publications
(18 citation statements)
references
References 37 publications
(89 reference statements)
0
18
0
Order By: Relevance
“…This research, which was still a prototype programme that used simple mathematical theories and had some deviations, could be analysed and applied by using the number of overlapping points as indicators and still required working with a mathematical programme that does not have a graphic user interface to support the operator. When compared to the reference research, they used sophisticated mathematical theories to detect important points on the face for analysis (Campomanes-Alvarez et al 2014;Campomanes-Alvarez et al 2018;Gaudio et al 2016). There was a higher cost of operation and could be done in a semi-automatic system to detect important points (Campomanes-Alvarez et al 2014;Campomanes-Alvarez et al 2018).…”
Section: Discussionmentioning
confidence: 99%
See 4 more Smart Citations
“…This research, which was still a prototype programme that used simple mathematical theories and had some deviations, could be analysed and applied by using the number of overlapping points as indicators and still required working with a mathematical programme that does not have a graphic user interface to support the operator. When compared to the reference research, they used sophisticated mathematical theories to detect important points on the face for analysis (Campomanes-Alvarez et al 2014;Campomanes-Alvarez et al 2018;Gaudio et al 2016). There was a higher cost of operation and could be done in a semi-automatic system to detect important points (Campomanes-Alvarez et al 2014;Campomanes-Alvarez et al 2018).…”
Section: Discussionmentioning
confidence: 99%
“…When compared to the reference research, they used sophisticated mathematical theories to detect important points on the face for analysis (Campomanes-Alvarez et al 2014;Campomanes-Alvarez et al 2018;Gaudio et al 2016). There was a higher cost of operation and could be done in a semi-automatic system to detect important points (Campomanes-Alvarez et al 2014;Campomanes-Alvarez et al 2018). There are still deviations in the analysis results (Campomanes-Alvarez et al 2014;Campomanes-Alvarez et al 2018;Gaudio et al 2016), that need to be developed in the future.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations