Year: 2018
Type: dissertation
Abstract: One of the most frequently secured types of evidence at crime scenes are footware impressions. Identifying the brand and model of the footware can be crucial to narrowing the search for suspects. This is done by forensic experts by comparing the evidence found at the crime scene with a huge list of reference impressions. In order to support the forensic experts an automatic retrieval of the most likely matches is desired.
Author: Christian Segovia Barrera
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Technische Universität Wien
OpenAlex ID: W2903113449