Hierarchical information fusion for decision making in craniofacial superimposition

Campomanes-Alvarez, Carmen; Ibáñez, Óscar; Cordón, Óscar; Wilkinson, Caroline

doi:10.1016/j.inffus.2017.03.004

Cited by 28 publications

(30 citation statements)

References 37 publications

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“…It also summarizes the methodology for the CV methods which achieve the best results in each case. These methods were used in [38] at the criterion evaluation level. In that contribution, we also described all the aspects and considerations included in the decision making process in CFS.…”

Section: Background: Hierarchical Decision Support Framework For mentioning

confidence: 99%

“…[5], [6], [9]. In [38], we proposed a complete theoretical definition of the DSS framework, in which this concept is correctly reflected. Within this framework, we implemented a first approach for the lowest level (level 3: criterion evaluation) in [37] and the intermediate one (level 2: SFO evaluation).…”

Section: Proposalmentioning

confidence: 99%

“…On the one hand, we test the DSS system as a shortlisting tool to study whether it is capable of filtering out the candidates. 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: 99%

“…Manual marking of both corresponding regions has to be done by the anthropologists in an approximate way, keeping in mind that the only visible hard tissue in the face are dental pieces. The 3D regions are projected onto the 2D image using the geometric transformation obtained in stage two of CFS [38] and extended in the current contribution.…”

Section: A Modeling Skull-face Anatomical/morphological Correspondencementioning

confidence: 99%

“…Recently, we have also developed a theoretical framework for decision making [37], [38]. This hierarchical DSS represents the first automatic system for human identification by CFS.…”

Section: Introductionmentioning

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: Background: Hierarchical Decision Support Framework For mentioning

confidence: 99%

Section: Proposalmentioning

confidence: 99%

Section: Proposalmentioning

confidence: 99%

Section: A Modeling Skull-face Anatomical/morphological Correspondencementioning

confidence: 99%

“…Recently, we have also developed a theoretical framework for decision making [37], [38]. This hierarchical DSS represents the first automatic system for human identification by CFS.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations