Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/314
Appears in Collections: | Psychology Journal Articles |
Peer Review Status: | Refereed |
Title: | EvoFIT: A holistic, evolutionary facial imaging technique for creating composites |
Author(s): | Frowd, Charlie D Hancock, Peter J B Carson, Derek |
Keywords: | Design Experimentation Human Factors Facial Composite PCA Face perception Computer systems Face Physiology Computer systems |
Issue Date: | Jul-2004 |
Citation: | Frowd CD, Hancock PJB & Carson D (2004) EvoFIT: A holistic, evolutionary facial imaging technique for creating composites, ACM Transactions on Applied Perception, 1 (1), pp. 19-39. https://doi.org/10.1145/1008722.1008725. |
Abstract: | EvoFIT, a computerized facial composite system is being developed as an alternative to current systems. EvoFIT Faces are initially presented to a witness with random characteristics, but through a process of selection and breeding, a composite is ‘evolved’. Comparing composites constructed with E-FIT, a current system, a naming rate of 10% was found for EvoFIT and 17% for E-FIT. Analysis revealed that target age was limiting factor for EvoFIT and a second study with age appropriate targets visible during composite construction produced a naming rate similar to E-FIT. Two more-realistic studies were conducted that involved young target faces and 2 current systems (E-FIT and PROfit). Composites from both of these experiments were poorly named but a significant benefit emerged for EvoFIT. |
DOI Link: | 10.1145/1008722.1008725 |
Rights: | Published in ACM Transactions on Applied Perception. Copyright: Association for Computing Machinery. |
Files in This Item:
File | Description | Size | Format | |
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ACMTAP_final_inline.pdf | Fulltext - Accepted Version | 915.14 kB | Adobe PDF | View/Open |
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