2007
DOI: 10.5334/pb-47-4-261
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Pixelating Familiar People in the Media: Should Masking Be Taken at Face Value?

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Cited by 13 publications
(24 citation statements)
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References 22 publications
(44 reference statements)
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“…A similar finding has been obtained in psychological research. Lander, Bruce, and Hill (2001) found, for example, that approximately 50% of famous face photographs with a horizontal resolution of only 10 pixels per face could still be identified (also Demanet, Dhont, Notebaert, Pattyn, & Vandierendonck, 2007). This suggests that pixelated faces with an extremely low spatial resolution can contain sufficient information for person identification.…”
Section: Introductionmentioning
confidence: 98%
See 3 more Smart Citations
“…A similar finding has been obtained in psychological research. Lander, Bruce, and Hill (2001) found, for example, that approximately 50% of famous face photographs with a horizontal resolution of only 10 pixels per face could still be identified (also Demanet, Dhont, Notebaert, Pattyn, & Vandierendonck, 2007). This suggests that pixelated faces with an extremely low spatial resolution can contain sufficient information for person identification.…”
Section: Introductionmentioning
confidence: 98%
“…For example, for the stimuli provided in Figure 2, the vertical resolution of the pixelated faces equates to 29, 20, and 11 pixels per face for the 20, 14, and 8 pixel conditions, respectively. We have chosen to manipulate the resolution of the faces in this manner for consistency with other studies in this field (e.g., Demanet et al, 2007;Lander et al, 2001). …”
Section: Stimuli and Proceduresmentioning
confidence: 99%
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“…The use of disguised target images in Experiment 2 replicated the first of the scenarios in which a Facial Comparison practitioner is likely to be employed to present evidence in a criminal case, and the current experiment explores the effectiveness of the technique in the second scenario, by using degraded quality target images. The aim here was to simulate poor quality CCTV images and images were pixelated to achieve this effect (Bindemann, Attard, Leach, & Johnston, 2013;Demanet, Dhont, Notebaert, Pattyn, & Vandierendonck, 2007).…”
Section: Methodsmentioning
confidence: 99%