Abstract:Spatial frequencies critical for recognition of faces are scale-dependent. Progressively coarser features of the face are utilized at smaller sizes, despite the availability of finer features. Blur removes fine details in an image, disrupting the finer features utilized for recognition at large sizes. At smaller sizes, observers utilize coarser features, and thus, recognition may be less impacted by blur. This coupling between size and critical spatial frequencies allows us to predict a regime in which observe… Show more
“…Since it has been reported that different brain regions respond to the perception of beauty and ugliness (Nakamura & Kawabata, 2015), future research on the relationship between the rating results observed in psychophysical experiments and brain re sponses is recommended. Finally, the size of the presented face image may also affect blur processing (Mousavi & Oruc, 2020), thus experiments that consider these factors are needed.…”
The beauty or ugliness of a face is affected by factors such as the resolution of the face image presented on the screen and its presentation time. However, details regarding the effect of the relationship between image resolution and presentation time are unclear. The present study investigated the effects of image resolution and presentation time on the beauty and ugliness evaluations of face images processed with down-sampling and Gaussian blurring. We prepared two types of face images with these blur processing treatments and conducted two experiments to evaluate beauty and ugliness perceptions at various presentation times. The data were analyzed using linear mixed models. We found that in both cases of blurring, the more the blurring, the lower the facial beauty and the higher the ugliness perceived. We also found that the shorter the presentation time, the higher the facial beauty and the lower the ugliness perceived. The results suggest that a positive bias may occur when sufficient temporal information is unavailable, whereas a negative bias may occur when sufficient image information is unavailable, regardless of the blurring processing method used.
“…Since it has been reported that different brain regions respond to the perception of beauty and ugliness (Nakamura & Kawabata, 2015), future research on the relationship between the rating results observed in psychophysical experiments and brain re sponses is recommended. Finally, the size of the presented face image may also affect blur processing (Mousavi & Oruc, 2020), thus experiments that consider these factors are needed.…”
The beauty or ugliness of a face is affected by factors such as the resolution of the face image presented on the screen and its presentation time. However, details regarding the effect of the relationship between image resolution and presentation time are unclear. The present study investigated the effects of image resolution and presentation time on the beauty and ugliness evaluations of face images processed with down-sampling and Gaussian blurring. We prepared two types of face images with these blur processing treatments and conducted two experiments to evaluate beauty and ugliness perceptions at various presentation times. The data were analyzed using linear mixed models. We found that in both cases of blurring, the more the blurring, the lower the facial beauty and the higher the ugliness perceived. We also found that the shorter the presentation time, the higher the facial beauty and the lower the ugliness perceived. The results suggest that a positive bias may occur when sufficient temporal information is unavailable, whereas a negative bias may occur when sufficient image information is unavailable, regardless of the blurring processing method used.
“…What are the best approaches to recognizing severely blurry faces? Coarser features are sufficient for supporting recognition of faces under some conditions, e.g., when they mimic viewing at a distance (Mousavi & Oruc, 2019;Oruc & Barton, 2010a;Shahangian & Oruc, 2014). Can we extrapolate from those conditions to help devise visual aids for people with blurry vision?…”
Faces are a rich source of information about the people around us. Identity, state of mind, emotions, intentions, age, gender, ethnic background, attractiveness and a host of other attributes about an individual can be gleaned from a face. When face perception fails, dramatic psychosocial consequences can follow at the individual level, as in the case of prosopagnosic parents who are unable to recognize their children at school pickup. At the species level, social interaction patterns are shaped by human face perception abilities. The computational feat of recognizing faces and facial attributes, and the challenges overcome by the human brain to achieve this feat, have fascinated generations of vision researchers. In this paper, we present a brief overview of some of the milestones of discovery as well as outline a selected set of current directions and open questions on this topic.
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