HemoVision: An automated and virtual approach to bloodstain pattern analysis

Joris, Philip X.; Develter, Wim; Jenar, Els; Suetens, Paul; Vandermeulen, Dirk; Voorde, Wim Van de; Claes, Peter

doi:10.1016/j.forsciint.2015.03.018

Cited by 21 publications

(7 citation statements)

References 5 publications

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“…Using the stringing theory, the flight path of such stains is reconstructed, and by combining trajectories together the point of origin of the source of blood can be determined in the three-dimensional space. Nowadays, as 350 presented in the study of Joris in 2015, various automated and virtual 3D scanning methods are used during investigations [14]. A lack of adequate scientific validity is noticed in some of those methods, such as highlighted by the 2016 study of Taylor et al, where they questioned the reliabil-355 ity of pattern classification on fabrics depending on how biased was the opinion of the expert.…”

mentioning

confidence: 99%

Wetting and spreading of human blood: Recent advances and applications

Smith

Brutin

2018

Current Opinion in Colloid & Interface Science

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Investigation of the physical phenomena involved in blood interactions with real surfaces present new exciting challenges. The fluid mechanical properties of such a fluid is singular due its non-Newtonian and complex behaviour, depending on the surrounding ambient conditions and the donor/victim's blood biological properties. The fundamental research on the topic remains fairly recent; although it finds applications in fields such as forensic science, with bloodstain pattern analysis, or biomedical science with the prospect of disease detection from dried blood droplets. In this paper, we review the understanding that has been achieved by interpreting blood wetting, spreading and drying when in contact, ex-vivo, with non-coated surfaces. Ultimately, we highlight the applications with the most up to date research, future perspectives, and the need of advancing further in this topic for the benefit of researchers, engineers, bloodstain pattern analysts, and medical practitioners.

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confidence: 99%

Wetting and spreading of human blood: Recent advances and applications

Smith

Brutin

2018

Current Opinion in Colloid & Interface Science

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“…It is often used in the entertainment industry, both for replicating realistic movements in computer‐generated special effects in movies and to recreate real movements for virtual characters in the videogame industry . Several 3D applications are already available for forensic science: anthropology (personal identification, age, sex type, height, body mass, bone identification, facial reconstruction, and odontology), trauma analysis (skin injuries, bite‐marks, firearms analysis), weapon identification, and blood stain pattern analysis .…”

Section: Discussionmentioning

confidence: 99%

The Reconstruction of the Dynamic of a Murder Using 3D Motion Capture and 3D Model Buildings: The Investigation of a Dubious Forensic Case

Aquila

Sacco

Aquila

et al. 2019

Journal of Forensic Sciences

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Photographic surveying is fundamental to crime scene investigation. It is performed using 2D images; however, this method is limited because it does not offer a detailed view. We present a 3D (three‐dimensional) experimental model that has clarified unsolved aspects of a homicide. A woman was found dead in her home. Considering the large number of injuries on the victim, signs of the use of two weapons, and the absence of traces of the killer/s, several hypotheses about the dynamics and the number of offenders were made. The forensic surveys suggested that a single offender had used two weapons at the same time, but this hypothesis was considered to be impossible by investigators. Our 3D model allowed us to experimentally reproduce the murder and compare various dynamics. The model was used as evidence in Court to prove the hypothesis of a single killer and demonstrate that no other people were involved.

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“…HemoVision [3,8] was developed to remove the aforementioned disadvantages. By relying on methods from machine learning and computer vision, HemoVision removes most manual work, significantly speeding up impact pattern analysis.…”

Section: Introductionmentioning

confidence: 99%