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Improved image analysis methodology for detecting changes in evidence positioning at crime scenes

Authors: Petty, Mark , Teng, Shyh , Murshed, Manzur
Date: 2019
Type: Text , Conference proceedings , Conference paper
Relation: 2019 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2019
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Description: This paper proposed an improved methodology to assist forensic investigators in detecting positional change of objects due to crime scene contamination. Either intentionally or by accident, crime scene contamination can occur during the investigation and documentation process. This new proposed methodology utilises an ASIFT-based feature detection algorithm that compares pre- and post-contaminated images of the same scene, taken from different viewpoints. The contention is that the ASIFT registration technique is better suited to real world crime scene photography, being more robust to affine distortion that occurs when capturing images from different viewpoints. The proposed methodology was tested with both the SIFT and ASIFT registration techniques to show that (1) it could identify missing, planted and displaced objects using both SIFT and ASIFT and (2) ASIFT is superior to SIFT in terms of error in displacement estimation, especially for larger viewpoint discrepancies between the pre- and post-contamination images. This supports the contention that our proposed methodology in combination with ASIFT is better suited to handle real world crime scene photography. © 2019 IEEE.
Description: E1

Authors: Jayawardena, Amal , Kahandawa, Gayan , Petty, Mark
Date: 2021
Type: Text , Conference paper
Relation: 8th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2021, Virtual, Toronto, 13-16 October 2021, Proceedings - 2021 8th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2021
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Description: This paper explains methods used to deliver online electronics and mechatronics courses and clarifies the results obtained by an online survey to understand students' e-learning experience. The purpose of this paper is to outline the challenges of online learning and to explain effective content delivery methods used to overcome those challenges. This study gives detailed descriptions for each content delivery technique, for each online lab delivery method, and for all the online assessment types used while analyzing the effectiveness of those procedures. A case study on the delivery of an online mechatronics project has also been presented. In addition, the paper presents the analyzed results obtained from the survey to improve the future delivery of online electronics and mechatronics courses in a pandemic. © 2021 IEEE.

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