Ground truth data generation for skull–face overlay

Ibáñez, Óscar; Cavalli, Fábio; Campomanes-Álvarez, B. Rosario; Campomanes-Alvarez, Carmen; Valsecchi, Andrea; Huete, M.I.

doi:10.1007/s00414-014-1074-1

Cited by 21 publications

(11 citation statements)

References 40 publications

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“…Meanwhile, we plan to study other techniques to model the consistency between bony and facial shapes using similarity measures. Then, a degree of confidence for each of them can be obtained analyzing their performance over a ground truth dataset [41]. Multifactorial methods have been shown to produce better results than single indicators methods [25], so, the integration of these techniques can provide a most confident value to measure spatial relations between bony and facial shapes.…”

Section: Discussionmentioning

confidence: 99%

Modeling the consistency between the bony and facial chin outline in craniofacial superimposition

Campomanes-Alvarez¹,

Ibáñez²,

Cordón³

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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Craniofacial superimposition is a forensic identification method involving the overlay of a skull over the available ante-mortem photographs of a candidate missing person face and the subsequent analysis of their anatomical correspondence. Within this process, the decision making stage focuses on determining the degree of support of being the same person or not based on the analysis of some criteria assessing the skull-face morphological correspondence. That decision is usually obtained in a non automatic and subjective way. We aim to automate the decision making process using computer vision and soft computing methods to assist the forensic anthropologist. In this work, we present a first approach to model one of the criteria followed by forensic experts: the analysis of the consistency of bony and facial chin outlines. We show some preliminary results over 82 skull-face overlay instances and discuss future research directions.

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Section: Discussionmentioning

confidence: 99%

Modeling the consistency between the bony and facial chin outline in craniofacial superimposition

Campomanes-Alvarez¹,

Ibáñez²,

Cordón³

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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“…Figure 1 presents an overview of the ground truth data creation process. Detailed explanations of this process are given in [26].…”

Section: Methodsmentioning

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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“…These instances were created as follows [26]: The subjects were submitted to cone-beam computed tomography (CBCT) for clinical purposes. It generates precise 3D models (0.3 mm slices) in an orthostatic position and it thus avoids undesired gravitational effects on the soft tissue.…”

Section: A Materialsmentioning

confidence: 99%

“…We included the soft tissue depth measurements of specific studies [23]- [25] within the SFO task. We tested the performance of our approach on 18 SFO problem instances that belong to the first and unique ground truth dataset [26]. This allows us to evaluate our automatic SFO method following an unbiased and reliable procedure.…”

Section: Introductionmentioning

confidence: 99%

Modeling Facial Soft Tissue Thickness for Automatic Skull-Face Overlay

Campomanes-Álvarez

Ibáñez

Campomanes-Alvarez

et al. 2015

IEEE Trans.Inform.Forensic Secur.

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Craniofacial superimposition involves the process of overlaying a skull with a number of ante-mortem images of an individual and the analysis of their morphological correspondence. Within the craniofacial superimposition process, the skull-face overlay stage focuses on achieving the best possible overlay of the skull and a single ante-mortem image of a missing person. This technique has been commonly applied following a nonautomatic trial-and-error approach. Automatic skull-face overlay methods have been developed obtaining promising results. In this paper, we present two new variants that are an extension of existing 3-D-2-D methods to automatically superimpose a skull 3-D model on a facial photograph. We have modeled the imprecision related to the facial soft tissue depth between corresponding pairs of cranial and facial landmarks which typically guide the automatic approaches. As an illustration of the model's performance, the soft tissue distances associated to studies for Mediterranean population have been considered for dealing with this landmark matching uncertainty. Hence, we directly incorporate the corresponding landmark spatial relationships within the automatic skull-face overlay procedure. We have tested the performance of our proposal Manuscript on 18 skull-face overlay instances from a ground truth data set obtaining valuable results. The current proposal is thus the first automatic skull-face overlay method evaluated in a reliable and unbiased way. IndexTerms-Forensic anthropology, craniofacial identification, craniofacial superimposition, 3D-2D skull-face overlay, soft tissues, fuzzy sets and distances.

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Ground truth data generation for skull–face overlay

Cited by 21 publications

References 40 publications

Modeling the consistency between the bony and facial chin outline in craniofacial superimposition

Modeling the consistency between the bony and facial chin outline in craniofacial superimposition

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

Modeling Facial Soft Tissue Thickness for Automatic Skull-Face Overlay

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