7 research outputs found

    S32 Computer transform testing

    No full text

    A grey area: How does image hue affect unfamiliar face matching?

    No full text
    The role of image colour in face identification has received little attention in research despite the importance of identifying people from photographs in identity documents (IDs) that are either in greyscale or in colour. Here, we investigated whether comparing a grayscale photograph to a colour image affects face matching accuracy. Participants were presented with two images from the Models Face Matching Test (Dowsett and Burton, 2015) and asked to decide whether they show the same person, or two different people. The photographs were either both in colour, both in grayscale, or mixed (one in grayscale and one in colour). Participants were more likely to accept a pair of images as representing the same person in the mixed condition, regardless of whether the identity of the pair was the same or not; this demonstrates a clear shift in bias between “congruent” colour conditions and the mixed trials. Our study provides the first evidence that the hue of document photographs matters for face matching performance. This finding has important implications for the design and regulation of photographic ID worldwide

    A grey area: How does image hue affect unfamiliar face matching?

    No full text
    The role of image colour in face identification has received little attention in research despite the importance of identifying people from photographs in identity documents (IDs). Here, in two experiments, we investigated whether colour congruency of two photographs shown side by side affects face matching accuracy. Participants were presented with two images from the Models Face Matching Test (Experiment 1) and a newly devised matching task incorporating female faces (Experiment 2) and asked to decide whether they show the same person, or two different people. The photographs were either both in colour, both in grayscale, or mixed (one in grayscale and one in colour). Participants were more likely to accept a pair of images as a “match”, i.e. same person, in the mixed condition, regardless of whether the identity of the pair was the same or not. This demonstrates a clear shift in bias between “congruent” colour conditions and the mixed trials. In addition, there was a small decline in accuracy in the mixed condition, relative to when the images were presented in colour. Our study provides the first evidence that the hue of document photographs matters for face matching performance. This finding has important implications for the design and regulation of photographic ID worldwide

    Can diagnostic feature training improve human face matching performance for masked faces?

    No full text
    This OSF project contains the pre-registration and data set reported in Carragher, D. J., Towler, A., Mileva, V. R., White, D., & Hancock, P.J.B. "Masked face identification is improved by diagnostic feature training". This project is currently undergoing peer-review. Updates to the project will be made periodically
    corecore