Face Identification within Realistic Contexts, 2019-2022
In many situations, security relies on accurate person identification. At airports, routine person identifications are based on face matching, in which passport officers have to decide whether the face photograph in a presented identity document actually depicts its bearer. This project investigated these person identifications by examining face matching with laboratory paradigms and in virtual reality. Data from a series of studies is provided that describe how to build and validate person avatars for such experimentation in VR and examine the role of different factors in face matching (similarity; moles; mismatch frequency; distractions).In many situations, security relies on accurate person identification. At airports, routine person identifications are based on face matching, in which passport officers have to decide whether the face photograph in a presented identity document actually depicts its bearer. This project investigated these person identifications by examining face matching with laboratory paradigms and in virtual reality. Data from a series of studies is provided that describe how to build and validate person avatars for such experimentation in VR and examine the role of different factors in face matching (similarity; moles; mismatch frequency; distractions).
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Geographic Coverage:
GB
Temporal Coverage:
2019-08-31/2022-03-30
Resource Type:
dataset
Available in Data Catalogs:
UK Data Service