Larsen, H. J. and Bennett, M., 2021. Recovering of 3D footwear impressions from sandy substrates: technical note on the contribution of SfM photogrammetry. Documentation. The Authors. (Unpublished)
Full text available as:
|
PDF
Recovering of 3D footwear impressions from sandy substrates_technical note on the contribution of SfM photogrammetry.pdf - Draft Version 1MB | |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
Abstract
Three-dimensional footwear impressions are often left at crime scenes, particularly in areas of dry sandy substrates common on footpaths, in roadside gutters and on waste ground. Loose fine sandy substrates can preserve remarkable levels of detail that can allow for the comparison of characteristics from wear and use of the shoe, beyond the consideration of class characteristics. A Crime Scene Investigator has a range of options at their disposal for the recovery of such an impression from casting through to 2D photography. Here we illustrate the use of SfM photogrammetry in the recovery of these sometimes ‘difficult to cast’ impressions. Our aim here is not to evaluate such methods in detail but simply draw the attention of CSIs to this potential. We do this via a series of different scenarios which illustrate the potential of SfM photogrammetry to provide a superior recovery method for sandy substrates. Given further evaluation and future evaluation of SfM methods we argue that it provides a potential complimentary recovery technique expanding the range of options available for loose, dry substrates.
Item Type: | Monograph (Documentation) |
---|---|
Additional Information: | This forms part of the integrated thesis of Hannah Larsen |
Group: | Faculty of Science & Technology |
ID Code: | 35684 |
Deposited By: | Symplectic RT2 |
Deposited On: | 23 Jun 2021 09:19 |
Last Modified: | 23 Jun 2022 01:08 |
Downloads
Downloads per month over past year
Repository Staff Only - |