Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62594
Title: The application of forensic artists to produce facial likenesses from poor quality surveillance images
Contributor(s): Spiteri, Vanessa  (creator); Porter, Glenn  (supervisor)orcid 
Publication Date: 2022-08-03
DOI: 10.25952/thq0-ay43
Handle Link: https://hdl.handle.net/1959.11/62594
Related Research Outputs: https://hdl.handle.net/1959.11/62671
Abstract/Context: 

This dataset was created during the research for the thesis 'The application of forensic artists to produce facial likenesses from poor quality surveillance imagesVan'. It consists of sets of data:

NEC NeoFace® Reveal search results - This dataset refers to the results of several searches completed across various experiments that were designed to investigate whether forensic artists could recapture facial likeness from poor quality surveillance images to be searched in a biometric database. Each of the experiment sketches were searched through the NEC NeoFace® Reveal software against a database probe to compare with their performance against the stimuli images that were provided to the artists.

Post Hoc Analysis Raw Data - This dataset refers to a series of facial likeness sketches completed by forensic artists being searched through NEC NeoFace® Reveal software. Each sketch was searched in its original state with and without contrast adjustments using the NEC software and with both the gender of the subject defined and undefined. This was then repeated with each sketch when treated with the image modification techniques of normalisation and equalisation.

Photo anthropometric Raw Data - This dataset refers to the photo anthropometric measurements that were taken directly from the subjects used in the experimental stimuli and the facial likeness sketches that were provided by the artists for each experiment.

Publication Type: Dataset
Fields of Research (FoR) 2020: 350305 Forensic intelligence
440216 Technology, crime and surveillance
490504 Forensic evaluation, inference and statistics
Socio-Economic Objective (SEO) 2020: 230404 Law enforcement
230403 Criminal justice
140105 Intelligence, surveillance and space
Keywords: surveillance
cctv
identification
Location: Cairns, Queensland, Australia
Sydney, New South Wales, Australia
HERDC Category Description: X Dataset
Project: The application of forensic artists to produce facial likenesses from poor quality surveillance imagesVan
Dataset Managed By: Vanessa Spiteri
Rights Holder: Vanessa Spiteri
Dataset Stored at: University of New England
Primary Contact Details: Vanessa Spiteri - v_spiteri@live.com.au
Dataset Custodian Details: Glenn Porter - gporter4@une.edu.au
Appears in Collections:Dataset
School of Humanities, Arts and Social Sciences
School of Psychology

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