Thesis
iPhone LiDAR to Support Documentation of Clandestine Gravesite Photogrammetry Reconstruction and Depth Measurement Accuracy
Masters by Coursework, Murdoch University
2024
Abstract
Clandestine gravesites are difficult to locate and investigate. Methods of gravesite detection are constrained due to the large search areas involved and the unknown nature of the gravesites. Invasive and non-invasive detection methods may be used to locate the gravesites and to find and excavate human remains and/or evidence of a crime. Traditional two-dimensional methods of notetaking, photography, and sketching are used to document clandestine gravesites. These existing methods may be problematic due to possible illegible handwriting, time-consuming data collection, an increased risk of evidence contamination, deterioration of samples, and the restrictive two-dimensional perspectives of the crime scene. Three-dimensional technology potentially offers the forensic investigation tools of light detection and ranging, and structured light scanning to collect three-dimensional data points that can be interpreted in their raw geometric form. Algorithmic and artificial intelligence forms of data processing and reconstruction such as photogrammetry and neural radiance fields further enhance three-dimensional methods. These algorithmic techniques collate images from multiple views and angles and form them into a reconstruction. Depth measurements can be reconfigured on computer software through spatial relationships and three-dimensional views which then allow a perspective of depth that compares favourably to the actual physical view. Two-dimensional techniques are the gold standard of measurement for clandestine gravesites but do not provide realistic visuals of the crime scene. Three-dimensional reconstruction techniques provide higher levels of details and context, however, are not as reliable in terms of measurement accuracy. Emerging methods like neural radiance fields are agreed upon by professionals to be inaccurate and underdeveloped to be used as a sole method for clandestine gravesite reconstruction and measurement.
Details
- Title
- iPhone LiDAR to Support Documentation of Clandestine Gravesite Photogrammetry Reconstruction and Depth Measurement Accuracy
- Authors/Creators
- Alice R Whittingham
- Contributors
- Brendan Chapman (Supervisor) - Murdoch University, School of Medical, Molecular and Forensic SciencesJohn Coumbaros (Supervisor) - Murdoch University, School of Medical, Molecular and Forensic Sciences
- Awarding Institution
- Murdoch University; Masters by Coursework
- Identifiers
- 991005679068607891
- Murdoch Affiliation
- School of Medical, Molecular and Forensic Sciences
- Resource Type
- Thesis
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