دانلود رایگان مقاله انگلیسی یک روش اصلاح شده برای تشخیص چهره در شرایط تخریب شده - الزویر 2018

ABSTRACT

Interest in using individual differences in face recognition ability to better understand the perceptual and cognitive mechanisms supporting face processing has grown substantially in recent years. The goal of this study was to determine how varying levels of face recognition ability are linked to changes in visual information extraction strategies in an identity recognition task. To address this question, fifty participants completed six tasks measuring face and object processing abilities. Using the Bubbles method (Gosselin & Schyns, 2001), we also measured each individual’s use of visual information in face recognition. At the group level, our results replicate previous findings demonstrating the importance of the eye region for face identification. More importantly, we show that face processing ability is related to a systematic increase in the use of the eye area, especially the left eye from the observer’s perspective. Indeed, our results suggest that the use of this region accounts for approximately 20% of the variance in face processing ability. These results support the idea that individual differences in face processing are at least partially related to the perceptual extraction strategy used during face identification.

Discussion

The goal of this study was to assess whether varying levels of face recognition ability are linked to changes in the perceptual strategies used to extract visual information to identify faces. Fifty participants were first asked to complete multiple tests measuring their individual ability to recognize faces and objects. Next, a face identification task in which the facial stimuli were sampled in the image and SF domains with Bubbles (Gosselin & Schyns, 2001) was administered to the same subjects. Our first analysis aimed to verify if, on average, we obtain similar results to previous studies using the set of stimuli selected in the present paper. In line with previous results, our data indeed shows the crucial role of the eyes for accurate face recognition (Butler et al., 2010; Caldara et al., 2005; Gosselin & Schyns, 2001; Schyns et al., 2002; Vinette et al., 2004). Our main analyses aimed to evaluate the link between (1) the individual face recognition strategies uncovered in our bubbles task and (2) individual face processing ability, quantified using the first component of a PCA computed on the three face recognition tasks included in our study. Our results demonstrate a systematic link between the use of the eyes and face processing ability. Interestingly, the best face recognizers rely to a greater extent on the eyes, especially the left eye (from the observer’s perspective) compared to the lowability face recognizers. The use of this feature accounts for approximately 20% of the variance in face processing ability. Our data did not reveal information that was systematically linked to lower face processing ability, i.e. information that was found to be significant both in the weighted CI analysis and in a correlation between the use of a specific area and face processing ability. In the present study, we show that the best face recognizers, who tend to obtain higher z-score values in the eye region, also require fewer bubbles to accurately recognize faces. Importantly, the link we obtain between use of facial features and face processing ability cannot be explained by the number of bubbles modulating the z-score values of the individual CIs. We obtain strikingly similar results to those presented in Fig. 4 when controlling for zscore magnitudes in individual CIs either by equating their standard deviations or their range. This implies that there are differences in the templates of the observers as a function of face recognition ability, and that these differences are the main driving force behind the association we find between use of the left eye and face processing ability.