MORPHOLOGY OF THE FACE AS A POSTMORTEM PERSONAL IDENTIFIER

The human face carries some of the most individualizing features suitable for the personal identification. Facial morphology is used for the face matching of living. An extensive research is conducted to develop the matching algorithm to mimic the human ability to recognize and match faces. Human ability to recognize and match faces, however, is not errorless and it serves as the main argument precluding the visual facial matching from its use as an identification tool. The human face keeps its individuality after death. Compared to the faces of living, the faces of deceased are rarely used or researched for the face matching. Different factors influence the appearance of the face of the deceased compared to the face of the living, namely the early postmortem changes and decomposition process. On the other hand, the literature review showed the use of visual recognition in multiple cases of identity assessment after the natural disasters. Presented dissertation thesis is composed of several projects focused on the possibility of personal identification of the decedents solely based on the morphology of their face. Dissertation explains the need for such identification and explores the error rates of the visual recognition of deceased, the progress of facial changes due to the early decomposition and the possibility of utilization of soft biometric traits, specifically facial moles. Lastly, the dissertation presents the use of shape index (s) as a quality indicator of three different 3D scanners aimed towards the most suitable method for obtaining facial postmortem 3D images

Asymmetry of the face and facial expressions in relation to handedness

Facial asymmetry is developed in every human and has an impact on everyone's life. Research of facial asymmetry is important not only in plastic surgery, aesthetic medicine and orthodontics, but also in forensic sciences, bioarchaeology and sociocultural anthropology. It can be influenced by various factors including the lateralization of cerebral hemispheres for cognitive and motor functions. According to the literature, handedness in humans is one of the most important forms of laterality which is probably related to facial asymmetry. The observed asymmetries differ not only between left-handers and right-handers, but also between men and women. Emotional expressions are also expressed asymmetrically on the face. Differences between positive and negative emotions as well as spontaneous and voluntarily expressions were observed. Different forms of laterality of motoric and cognitive cerebral functions are related to each other and their impact on facial asymmetry is therefore very complex.Asymetrie obličeje se vyvíjí v různém rozsahu u každého člověka a může mít vliv na jeho život. Její studium má význam nejen v oblasti plastické chirurgie, estetické medicíny a ortodoncie, ale také ve forenzních vědách, bioarcheologii a sociokulturní antropologii. Její míra může být ovlivňována různými faktory, mezi nimi i lateralizací mozkových hemisfér pro kognitivní a motorické funkce. Preference horní končetiny u člověka je podle literatury nejvýznamnější formou laterality, která má pravděpodobně vztah k obličejové asymetrii. Pozorovaná asymetrie se liší nejen mezi leváky a praváky, ale rovněž mezi muži a ženami. Také emoční výrazy jsou na obličeji exprimovány asymetricky. Zaznamenány byly rozdíly mezi pozitivními a negativními emocemi a také mezi výrazy spontánními a vynucenými. Různé druhy laterality motorických a kognitivních mozkových funkcí spolu navzájem souvisí a jejich vztah k obličejové asymetrii je proto velmi komplexní.Department of Anthropology and Human GeneticsKatedra antropologie a genetiky člověkaFaculty of SciencePřírodovědecká fakult

Novel genetic loci affecting facial shape variation in humans

The human face represents a combined set of highly heritable phenotypes, but knowledge on its genetic architecture remains limited, despite the relevance for various fields. A series of genome-wide association studies on 78 facial shape phenotypes quantified from 3-dimensional facial images of 10,115 Europeans identified 24 genetic loci reaching study-wide suggestive association (p-8), among which 17 were previously unreported. A follow-up multi-ethnic study in additional 7,917 individuals confirmed 10 loci including 6 unreported ones (padjusted-3). A global map of derived polygenic face scores assembled facial features in major continental groups consistent with anthropological knowledge. Analyses of epigenomic datasets from cranial neural crest cells revealed abundant cis-regulatory activities at the face-associated genetic loci. Luciferase reporter assays in neural crest progenitor cells highlighted enhancer activities of several face-associated DNA variants. These results substantially advance our understanding of the genetic basis underlying human facial variation and provide candidates for future in-vivo functional studies

Asymmetry of the human face

Asymetrie obličeje ovlivňuje život člověka, zejména v kontaktu s ostatními lidmi. Jedinci s patologickými asymetriemi mohou mít problémy se začleňováním se do kolektivu, ať už v dětství ve škole, či později v dospělosti v kolektivu pracovním. Existence a velikost asymetrie se podílí i na úspěchu při hledání životního partnera, přičemž jemné fluktuační asymetrie odráží potenciální kvalitu genů jedince. Vědecký výzkum zaměřený na měření a hodnocení obličejové asymetrie poskytuje cenné poznatky pro nejrůznější odvětví medicíny, především pro plastickou chirurgii a ortodoncii, ale i pro forenzní vědy, kde jsou využity k identifikaci osob. Asymetrie vznikají již v prenatálním období, následně se během života vyvíjí a mění díky působení mnoha faktorů vnějšího i vnitřního prostředí.Facial asymmetry affects human life, especially in relationships with other people. Individuals with pathological asymmetries may have difficulty with integration into the collective, whether in childhood at school or later in adulthood at work. Presence and size of asymmetry reflects the potential quality of an individual's genes. Scientific research focused on measurement and evaluation of facial asymmetry provides valuable knowledge for various branches of medicine mainly for plastic surgery and orthodoncy, but also for forensic science, where it is used for personal identification. Asymmetries develop in the prenatal period and then they envolve and grow by the influence of external and internal factors during lifetime.Katedra antropologie a genetiky člověkaDepartment of Anthropology and Human GeneticsFaculty of SciencePřírodovědecká fakult

Face recognition by means of advanced contributions in machine learning

Face recognition (FR) has been extensively studied, due to both scientific fundamental challenges and current and potential applications where human identification is needed. FR systems have the benefits of their non intrusiveness, low cost of equipments and no useragreement requirements when doing acquisition, among the most important ones. Nevertheless, despite the progress made in last years and the different solutions proposed, FR performance is not yet satisfactory when more demanding conditions are required (different viewpoints, blocked effects, illumination changes, strong lighting states, etc). Particularly, the effect of such non-controlled lighting conditions on face images leads to one of the strongest distortions in facial appearance. This dissertation addresses the problem of FR when dealing with less constrained illumination situations. In order to approach the problem, a new multi-session and multi-spectral face database has been acquired in visible, Near-infrared (NIR) and Thermal infrared (TIR) spectra, under different lighting conditions. A theoretical analysis using information theory to demonstrate the complementarities between different spectral bands have been firstly carried out. The optimal exploitation of the information provided by the set of multispectral images has been subsequently addressed by using multimodal matching score fusion techniques that efficiently synthesize complementary meaningful information among different spectra. Due to peculiarities in thermal images, a specific face segmentation algorithm has been required and developed. In the final proposed system, the Discrete Cosine Transform as dimensionality reduction tool and a fractional distance for matching were used, so that the cost in processing time and memory was significantly reduced. Prior to this classification task, a selection of the relevant frequency bands is proposed in order to optimize the overall system, based on identifying and maximizing independence relations by means of discriminability criteria. The system has been extensively evaluated on the multispectral face database specifically performed for our purpose. On this regard, a new visualization procedure has been suggested in order to combine different bands for establishing valid comparisons and giving statistical information about the significance of the results. This experimental framework has more easily enabled the improvement of robustness against training and testing illumination mismatch. Additionally, focusing problem in thermal spectrum has been also addressed, firstly, for the more general case of the thermal images (or thermograms), and then for the case of facialthermograms from both theoretical and practical point of view. In order to analyze the quality of such facial thermograms degraded by blurring, an appropriate algorithm has been successfully developed. Experimental results strongly support the proposed multispectral facial image fusion, achieving very high performance in several conditions. These results represent a new advance in providing a robust matching across changes in illumination, further inspiring highly accurate FR approaches in practical scenarios.El reconeixement facial (FR) ha estat àmpliament estudiat, degut tant als reptes fonamentals científics que suposa com a les aplicacions actuals i futures on requereix la identificació de les persones. Els sistemes de reconeixement facial tenen els avantatges de ser no intrusius,presentar un baix cost dels equips d’adquisició i no la no necessitat d’autorització per part de l’individu a l’hora de realitzar l'adquisició, entre les més importants. De totes maneres i malgrat els avenços aconseguits en els darrers anys i les diferents solucions proposades, el rendiment del FR encara no resulta satisfactori quan es requereixen condicions més exigents (diferents punts de vista, efectes de bloqueig, canvis en la il·luminació, condicions de llum extremes, etc.). Concretament, l'efecte d'aquestes variacions no controlades en les condicions d'il·luminació sobre les imatges facials condueix a una de les distorsions més accentuades sobre l'aparença facial. Aquesta tesi aborda el problema del FR en condicions d'il·luminació menys restringides. Per tal d'abordar el problema, hem adquirit una nova base de dades de cara multisessió i multiespectral en l'espectre infraroig visible, infraroig proper (NIR) i tèrmic (TIR), sota diferents condicions d'il·luminació. En primer lloc s'ha dut a terme una anàlisi teòrica utilitzant la teoria de la informació per demostrar la complementarietat entre les diferents bandes espectrals objecte d’estudi. L'òptim aprofitament de la informació proporcionada pel conjunt d'imatges multiespectrals s'ha abordat posteriorment mitjançant l'ús de tècniques de fusió de puntuació multimodals, capaces de sintetitzar de manera eficient el conjunt d’informació significativa complementària entre els diferents espectres. A causa de les característiques particulars de les imatges tèrmiques, s’ha requerit del desenvolupament d’un algorisme específic per la segmentació de les mateixes. En el sistema proposat final, s’ha utilitzat com a eina de reducció de la dimensionalitat de les imatges, la Transformada del Cosinus Discreta i una distància fraccional per realitzar les tasques de classificació de manera que el cost en temps de processament i de memòria es va reduir de forma significa. Prèviament a aquesta tasca de classificació, es proposa una selecció de les bandes de freqüències més rellevants, basat en la identificació i la maximització de les relacions d'independència per mitjà de criteris discriminabilitat, per tal d'optimitzar el conjunt del sistema. El sistema ha estat àmpliament avaluat sobre la base de dades de cara multiespectral, desenvolupada pel nostre propòsit. En aquest sentit s'ha suggerit l’ús d’un nou procediment de visualització per combinar diferents bandes per poder establir comparacions vàlides i donar informació estadística sobre el significat dels resultats. Aquest marc experimental ha permès més fàcilment la millora de la robustesa quan les condicions d’il·luminació eren diferents entre els processos d’entrament i test. De forma complementària, s’ha tractat la problemàtica de l’enfocament de les imatges en l'espectre tèrmic, en primer lloc, pel cas general de les imatges tèrmiques (o termogrames) i posteriorment pel cas concret dels termogrames facials, des dels punt de vista tant teòric com pràctic. En aquest sentit i per tal d'analitzar la qualitat d’aquests termogrames facials degradats per efectes de desenfocament, s'ha desenvolupat un últim algorisme. Els resultats experimentals recolzen fermament que la fusió d'imatges facials multiespectrals proposada assoleix un rendiment molt alt en diverses condicions d’il·luminació. Aquests resultats representen un nou avenç en l’aportació de solucions robustes quan es contemplen canvis en la il·luminació, i esperen poder inspirar a futures implementacions de sistemes de reconeixement facial precisos en escenaris no controlats.Postprint (published version

An Empirical Examination of Frontal Sinus Outline Variability Using Elliptic Fourier Analysis: Implications for Identification, Standardization, and Legal Admissibility

The comparison of frontal sinus radiographs for positive identification has become an increasingly applied and accepted technique among forensic anthropologists, radiologists, and pathologists. However, the current method of outline comparison by visual assessment fails to meet evidence admissibility guidelines as set forth in the 1993 case of Daubert v. Merrell-Dow Pharmaceuticals, Inc. Specifically, no empirical testing of the uniqueness of frontal sinus outlines has ever been performed, there has been no evaluation of the probability of misidentification using the technique, there are no standards controlling the technique’s operation, and there are no subjective standards for confirming or rejecting a putative identification. Despite the fact that identifications based upon frontal sinus radiograph comparisons have been routinely accepted by scientists, medical examiners and law enforcement officers, these shortcomings could pose serious problems if forensic scientists were ever called upon to testify regarding such an identification in trial. This study investigated frontal sinus outline variability using Elliptic Fourier Analysis (EFA), a geometric morphometric approach that fits a closed curve to an ordered set of data points, generating a set of coefficients that can be treated as shape descriptors used as variables in discriminatory or other multivariate analyses, or used to reproduce the outline. By modeling 2-dimensional representations of frontal sinuses (as seen in posterior-anterior cranial radiographs) as closed contours by digitizing their outer borders, differences in their shapes were assessed quantitatively by comparing the Euclidean distances between the EFA-generated outlines. The probability of misidentification was assessed using likelihood ratios and posterior probabilities based on the EFA coefficients. Results showed that there is a quantifiable and significant difference between the shapes of different individuals’ frontal sinus outlines as represented by Euclidean distances, since distances between outlines of different individuals were shown to be significantly larger than those between replicates (simulated antemortem and postmortem) of the same individual. Likelihood ratios using EFA coefficients showed that the probability of a frontal sinus match given the correct identification versus the probability of a match from the population at large was very high, and therefore the probability of misidentification was very low. This study concluded that for individuals with sufficiently remarkable frontal sinus outlines, using EFA coefficients of digitized frontal sinus outlines to estimate the probability of a correct identification, and thereby confirm or reject a presumptive identification, is a reliable technique. Given these results, EFA comparison of frontal sinus outlines is recommended when it may be necessary to provide quantitative substantiation for a forensic identification based on these structures

Recent Advances in Forensic Anthropological Methods and Research

Forensic anthropology, while still relatively in its infancy compared to other forensic science disciplines, adopts a wide array of methods from many disciplines for human skeletal identification in medico-legal and humanitarian contexts. The human skeleton is a dynamic tissue that can withstand the ravages of time given the right environment and may be the only remaining evidence left in a forensic case whether a week or decades old. Improved understanding of the intrinsic and extrinsic factors that modulate skeletal tissues allows researchers and practitioners to improve the accuracy and precision of identification methods ranging from establishing a biological profile such as estimating age-at-death, and population affinity, estimating time-since-death, using isotopes for geolocation of unidentified decedents, radiology for personal identification, histology to assess a live birth, to assessing traumatic injuries and so much more