2021
DOI: 10.1016/j.scijus.2021.04.003
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Technological innovation in the recovery and analysis of 3D forensic footwear evidence: Structure from motion (SfM) photogrammetry

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Cited by 10 publications
(7 citation statements)
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References 39 publications
(57 reference statements)
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“…Furthermore, 3D reconstructions of the shape of individual muscles and the configuration of the musculature are enabled for extant taxa when only surface models and dissection data are available, thus facilitating further downstream analyses. Capturing surface data during a dissection, either through photogrammetry or other surface digitization techniques 1 , 83 87 , and reconstructing the musculature using our approach could streamline the pipeline for comparative morphological analyses 8 , 22 , 27 , 70 , 72 , 88 as well as biomechanical models and simulations. Our method enables the subject-specific quantification of muscle attachment area as well as muscle shape and path estimations, information usually lost during dissection, which, however, is crucial for musculoskeletal modelling 29 .…”
Section: Discussionmentioning
confidence: 99%
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“…Furthermore, 3D reconstructions of the shape of individual muscles and the configuration of the musculature are enabled for extant taxa when only surface models and dissection data are available, thus facilitating further downstream analyses. Capturing surface data during a dissection, either through photogrammetry or other surface digitization techniques 1 , 83 87 , and reconstructing the musculature using our approach could streamline the pipeline for comparative morphological analyses 8 , 22 , 27 , 70 , 72 , 88 as well as biomechanical models and simulations. Our method enables the subject-specific quantification of muscle attachment area as well as muscle shape and path estimations, information usually lost during dissection, which, however, is crucial for musculoskeletal modelling 29 .…”
Section: Discussionmentioning
confidence: 99%
“…Iterative polygonal modelling is not limited to cross-sectional information, this method can be used in conjunction with muscle surface scan data that can (1) streamline processes in which the user can also collect dissection data at the same time as muscular configurations, and (2) further minimise costs and time commitment for the user because expensive CT-scan data after lengthy staining processes do not need to be collected 1 . However, it is not required to use surface scan-technology that can be expensive and prohibitive itself 85 , 87 ; photogrammetry is an alternative possibility 84 , 86 , in which the user can further minimise total costs by even using a personal smartphone rather than an expensive camera or laser scanning 87 to capture a series of photographs and then subsequently use freeware to build 3D models of each muscle layer (e.g. 1 , 83 ).…”
Section: Methodsmentioning
confidence: 99%
“…Forensic applications : We recommend that further research is required to refine stature estimation precision for forensic cases from which an individual may be prosecuted due to the likelihood of footprint outline significantly being altered dependent on condition of speed and substrate (Krishan et al, 2015). There are clear recommendations and rigorous protocols which must be followed with respect to the application of forensic methods, including inferences made from footprints recovered from crime scenes (Larsen et al, 2021; Tuttle, 1986). First and foremost, the methodology must be well established, the sources of error must be identified with a clear and concise error margin proclaimed, and finally, the method must be rigorously tested, retested and retestable by all in the future.…”
Section: Discussion: the Way Forwardmentioning
confidence: 99%
“…These recording methodologies have been featured in studies involving the recording of crime scenes for forensic purposes (Luchowski et al 2021;Galanakis et al 2021). A relatively small body of literature is concerned with indoor scene reconstruction (Galanakis et al 2021;Sansoni et al 2011;Larsen et al 2021). For example, Roosje de Leeuwe (de Leeuwe 2017) reported that traditional crime scene documentation methods did not always provide enough contextual information relating to the positioning of evidentially valuable traces.…”
Section: Related Workmentioning
confidence: 99%