Changing face contours reduces the inversion effect and overall recognition performance

McCourt, Siobhan; McLaren, Ian A.; Civile, Ciro

doi:10.1016/j.crbeha.2023.100115

Cited by 2 publications

(2 citation statements)

References 43 publications

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“…DOI: 10.32517/0234-0453-2023-38-6-52-58. [5] экспериментируют с изменением входных данных модели для того, чтобы побороть эффект инверсии (проблему, связанную с более долгим распознаванием лиц на изображениях, полностью повернутых в другую сторону, в отличие от стандартного вертикального положения лица на изображении). В ходе нескольких экспериментов с входными данными авторы пришли к выводу, что в случае изменения контура лица определенным образом (например, размытия границ) эффект инверсии можно побороть ценой небольшого снижения качества модели на вертикальных изображениях.…”

Section: обзор литературыunclassified

“…В рамках разработки прототипа прокси-сервер и сервер приложения размещены на одной машине, данные между ними передаются через веб-сокет 4 . На сервере приложения используется WSGI 5 .…”

Section: программные инструменты используемые в реализации прототипаunclassified

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Creating a software prototype of the face recognition system for educational institutions on the "1C:Enterprise" platform

Barabash,

Panov

2023

Informatika i obrazovanie

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The use of information technology entails not only huge benefits but also a large number of new threats. One of the most dangerous of them is data leaks, as they undermine consumer confidence and can lead to business shutdowns. Educational organizations that use applications on the 1C platform in their work face a similar problem. The solution in this case may be to improve the authorization process by adding one more step to it — face recognition.For optimal design of this authorization method, it is necessary to develop the program architecture considering the current business requirements of educational organizations and to develop a software prototype ready for integration into current educational software solutions.The article provides an example of the above architecture and the application created on its basis. Further, they can be integrated into any system based on “1C:Enterprise”. To meet the requirements for the system, the most appropriate architecture is a “client — server” with a separate server dedicated to the database. Python programming language is used, network communication is organized according to REST principles using GET method and HTTP protocol, photo data transfer is in JSON format.

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Section: обзор литературыunclassified

Section: программные инструменты используемые в реализации прототипаunclassified

Creating a software prototype of the face recognition system for educational institutions on the "1C:Enterprise" platform

Barabash,

Panov

2023

Informatika i obrazovanie

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Relative saliency affects attentional capture and suppression of color and face singleton distractors: evidence from event-related potential studies

Zhang,

2024

Cerebral Cortex

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Prior research has yet to fully elucidate the impact of varying relative saliency between target and distractor on attentional capture and suppression, along with their underlying neural mechanisms, especially when social (e.g. face) and perceptual (e.g. color) information interchangeably serve as singleton targets or distractors, competing for attention in a search array. Here, we employed an additional singleton paradigm to investigate the effects of relative saliency on attentional capture (as assessed by N2pc) and suppression (as assessed by PD) of color or face singleton distractors in a visual search task by recording event-related potentials. We found that face singleton distractors with higher relative saliency induced stronger attentional processing. Furthermore, enhancing the physical salience of colors using a bold color ring could enhance attentional processing toward color singleton distractors. Reducing the physical salience of facial stimuli by blurring weakened attentional processing toward face singleton distractors; however, blurring enhanced attentional processing toward color singleton distractors because of the change in relative saliency. In conclusion, the attentional processes of singleton distractors are affected by their relative saliency to singleton targets, with higher relative saliency of singleton distractors resulting in stronger attentional capture and suppression; faces, however, exhibit some specificity in attentional capture and suppression due to high social saliency.

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Changing face contours reduces the inversion effect and overall recognition performance

Cited by 2 publications

References 43 publications

Creating a software prototype of the face recognition system for educational institutions on the "1C:Enterprise" platform

Creating a software prototype of the face recognition system for educational institutions on the "1C:Enterprise" platform

Relative saliency affects attentional capture and suppression of color and face singleton distractors: evidence from event-related potential studies

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