2004
DOI: 10.1016/j.brainresbull.2004.03.010
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Sex differences in face gender recognition in humans

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Cited by 107 publications
(79 citation statements)
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References 18 publications
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“…They also found that a face size of 36 × 36 pixels provided superior performance compared to 24 ×24 and 48 × 48. Within the area of psychology, studies have shown that reducing resolution and increasing noise leads to reduction in gender classification by human subjects [9]. Furthermore, this study showed that male efficiently categorised than female faces conditions, such as the level of illuminat significant impact on the performance of the visual systems.…”
Section: Introductionmentioning
confidence: 72%
“…They also found that a face size of 36 × 36 pixels provided superior performance compared to 24 ×24 and 48 × 48. Within the area of psychology, studies have shown that reducing resolution and increasing noise leads to reduction in gender classification by human subjects [9]. Furthermore, this study showed that male efficiently categorised than female faces conditions, such as the level of illuminat significant impact on the performance of the visual systems.…”
Section: Introductionmentioning
confidence: 72%
“…2. Sujeitos são mais eficientes na categorização de faces do mesmo sexo" (Cellerino;Borghetti;Sartucci, 2004, p. 447). Duas hipóteses, diversas das já mencionadas nos estudos anteriormente citados, são levantadas para explicar tais diferenças.…”
Section: Afirma Queunclassified
“…A primeira tem caráter mais sociocultural e, reconhecendo que a identificação do gênero pela face é um processo cognitivo, supõe que essa divergência ocorra devido às diferentes socializações de meninas e meninos na infância, as quais restringem o convívio de cada gênero ao seu próprio grupo. Já a segunda é radicalmente diversa e menciona vários estudos neurofisiológicos para afirmar que "o desenvolvimento e a função do cérebro masculino e feminino são influenciados pelos hormônios esteroides, e esta influência se estende também para a categorização de gênero da face" (Cellerino;Borghetti;Sartucci, 2004, p. 448).…”
Section: Afirma Queunclassified
“…In computer vision research, gender classification plays prominent roles in human identification, face recognition, intelligent human-computer interfaces, computer vision approaches for monitoring people, passive demographic data collection, etc. Although psychological research has shown that gender has close relationships both with 2D information and 3D shape [6], most of the works are based on 2D face images, only a few studies have investigated 3D shape gender classification [7], [8]. This is due to the high price of 3D sensor and complex computation of 3D information.…”
Section: Introductionmentioning
confidence: 99%