Study on the performance of different craniofacial superimposition approaches (I)

Ibáñez, Óscar; Vicente, Ricardo; Navega, David; Wilkinson, Caroline; Jayaprakash, Paul T.; Huete, M.I.; Briers, T.; Hardiman, Rita; Navarro, Fernando; Ruiz, Elena Figuero; Cavalli, Fábio; Imaizumi, Kazunori; Jankauskas, Rimantas; Veselovskaya, Elizaveta; Abramov, Alexey D.; Lestón, P.; Molinero, Francisco Javier Brotons; Cardoso, João; Cagdir, Ahmet Sadi; Humpire, D.; Nakanishi, Yuji; Zeuner, A.; Ross, Ann H.; Gaudio, Daniel; Damas, Sergio

doi:10.1016/j.forsciint.2015.05.030

Cited by 17 publications

(15 citation statements)

References 17 publications

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“…To analyze the performance of our approach, several detailed experiments have been developed, including the comparison with the state-of-the-art results of [38] and the manual results achieved by the renowned and junior forensic anthropologists in [41].…”

Section: Resultsmentioning

confidence: 99%

“…Thus, we can analyze the evolution regarding the previous results in [38], in terms of CFS cases and take more criteria into consideration. On the other hand, we validate our system as an automatic identification tool for the first time, comparing its performance with the results from a study manually achieved by forensic experts in the framework of an international project [41].…”

Section: Proposalmentioning

confidence: 96%

“…The first and major effort to develop a common methodology occurred under the umbrella of the MEPROCS European project. Different quantitative and qualitative interlab studies served to develop the first best practice document in the field [41], identified the set of morphological criteria with a greater discriminative power [5], and validated the recently created methodology by measuring the performance of different forensic anthropologists in similar studies carried out following their own methodology and comparing it with the one developed within the MEPROCS framework [44].…”

Section: Automatic Cfs As Sort-listing and Identification Toolmentioning

confidence: 99%

“…The same kind of test has already been carried out by MEPROCS partners in [41] and [44]. The experimental set up involves the comparison of unknown skulls and multiple candidates.…”

Section: Automatic Cfs As Sort-listing and Identification Toolmentioning

confidence: 99%

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

Campomanes-Alvarez

Martos-Fernandez

Wilkinson

et al. 2018

IEEE Trans.Inform.Forensic Secur.

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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. Three consecutive stages for the CFS process have been distinguished: the acquisition and processing of the materials; the skull-face overlay; and the decision making. This final stage consists of determining the degree of support for a match based on the previous overlays. The final decision is guided by different criteria depending on the anatomical relations between the skull and the face. In previous approaches, we proposed a framework for automating this stage at different levels taking into consideration all the information and uncertainty sources involved. In this study, we model new anatomical skull-face regions and we tackle the last level of the hierarchical decision support system. For the first time, we present a complete system which provides a final degree of craniofacial correspondence. Furthermore, we validate our system as an automatic identification tool analyzing its capabilities in closed (known information or a potential list of those involved) and open lists (little or no idea at first who may be involved) and comparing its performance with the manual results achieved by experts, obtaining a remarkable performance. The proposed system has been demonstrated to be valid for sortlisting a given data set of initial candidates (in 62,5% of the cases the positive one is ranked in the first position) and to serve as an exclusion method (97,4% and 96% of true negatives in training and test, respectively).

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Section: Resultsmentioning

confidence: 99%

Section: Proposalmentioning

confidence: 96%

Section: Automatic Cfs As Sort-listing and Identification Toolmentioning

confidence: 99%

“…The same kind of test has already been carried out by MEPROCS partners in [41] and [44]. The experimental set up involves the comparison of unknown skulls and multiple candidates.…”

Section: Automatic Cfs As Sort-listing and Identification Toolmentioning

confidence: 99%

See 2 more Smart Citations

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

Campomanes-Alvarez

Martos-Fernandez

Wilkinson

et al. 2018

IEEE Trans.Inform.Forensic Secur.

View full text Add to dashboard Cite

show abstract

“…The latter are intended to provide quantitative and objective data that could support discussions and facilitate decision making processes in an unbiased way. In the first study [21,22] 26 participants from 17 different institutions in 13 countries were asked to deal with 14 CFS identification scenarios, some of them involving the comparison of multiple candidates with multiple unknown skulls. In total, 60 SFO problems, divided into female and male sets, were analysed.…”

Section: Introductionmentioning

confidence: 99%

Study on the criteria for assessing skull-face correspondence in craniofacial superimposition

Ibáñez

Valsecchi

Cavalli³

et al. 2016

Legal Medicine

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Study on the criteria for assessing skull-face correspondence in craniofacial superimposition, Legal Medicine (2016), doi: http://dx.doi.org/10. 1016/j.legalmed.2016.09.009 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractCraniofacial superimposition has the potential to be used as an identification method when other traditional biological techniques are not applicable due to insufficient quality or absence of ante-mortem and post-mortem data. Despite having been used in many countries as a method of inclusion and exclusion for over a century it lacks standards. Thus, the purpose of this research is to provide forensic practitioners with standard criteria for analysing skull-face relationships. Thirty-seven experts from 16 different institutions participated in this study, which consisted of evaluating 65 criteria for assessing skull-face anatomical consistency on a sample of 24 different skull-face superimpositions. An unbiased statistical analysis established the most objective and discriminative criteria. Results did not show strong associations, however, important insights to address lack of standards were provided. In addition, a novel methodology for understanding and standardizing identification methods based on the observation of morphological patterns has been proposed.

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Computer-aided craniofacial superimposition validation study: the identification of the leaders and participants of the Polish-Lithuanian January Uprising (1863–1864)

et al. 2022

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In 2017, a series of human remains corresponding to the executed leaders of the “January Uprising” of 1863–1864 were uncovered at the Upper Castle of Vilnius (Lithuania). During the archeological excavations, 14 inhumation pits with the human remains of 21 individuals were found at the site. The subsequent identification process was carried out, including the analysis and cross-comparison of post-mortem data obtained in situ and in the lab with ante-mortem data obtained from historical archives. In parallel, three anthropologists with diverse backgrounds in craniofacial identification and two students without previous experience attempted to identify 11 of these 21 individuals using the craniofacial superimposition technique. To do this, the five participants had access to 18 3D scanned skulls and 14 photographs of 11 different candidates. The participants faced a cross-comparison problem involving 252 skull-face overlay scenarios. The methodology follows the main agreements of the European project MEPROCS and uses the software Skeleton-ID™. Based on MEPROCS standard, a final decision was provided within a scale, assigning a value in terms of strong, moderate, or limited support to the claim that the skull and the facial image belonged (or not) to the same person for each case. The problem of binary classification, positive/negative, with an identification rate for each participant was revealed. The results obtained in this study make the authors think that both the quality of the materials used and the previous experience of the analyst play a fundamental role when reaching conclusions using the CFS technique.

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Study on the performance of different craniofacial superimposition approaches (I)

Cited by 17 publications

References 17 publications

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

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

Study on the criteria for assessing skull-face correspondence in craniofacial superimposition

Computer-aided craniofacial superimposition validation study: the identification of the leaders and participants of the Polish-Lithuanian January Uprising (1863–1864)

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