Факультет технологій та дизайну

Постійне посилання на фонд

https://elar.khmnu.edu.ua/handle/123456789/555

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Перегляд Факультет технологій та дизайну за Автор "Kurochka, Snizhana"

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  • Ескіз
    Документ
    Application of deep learning in apparel design
    (2017) Свірук, Л.; Курочка, С.; Захаркевич, Оксана Василівна; Кулешова, Світлана Геннадіївна; Sviruk, Lesya; Kurochka, Snizhana; Zakharkevich, Oksana; Kuleshova, Svetlana
    Deep learning has many applications in contemporary world, which include the tasks of predicting the fashion as well as analysing the images of outfits and forming the textual description of the sketch. The paper is devoted to the examination of fashion search engines that probably could be utilised in apparel industry. Based on the results of performed online survey, it was determined that it is advisable to use as labels for the images specific features of the particular garment type rather than its name. Analysis of images of outerwear, which were obtained with the help of reverse image search, was conducted and images of women's duffle coats were selected. The selected material was sampled for the categorical principal components analysis and general assessment of differences of the garments images. It was determined that less than 30% of original population of images were sampled with required level of accuracy. All found images of the duffle coats cause the similar consumers' impressions. It was determined that deep learning can be used only for the purposes of similarity search for the online shops, which are oriented to the consumers’ impressions rather than to retrieving the features of fashionable outfits.
  • Ескіз
    Документ
    Method of analyzing images of clothes based on Kansei Engineering
    (2017) Курочка, С.; Свірук, Л.; Кулешова, Світлана Геннадіївна; Захаркевич, Оксана Василівна; Kurochka, Snizhana; Sviruk, Lesya; Kuleshova, Svetlana; Zakharkevich, Oksana
    Fashion, in contemporary world is becoming more sophisticated day by day. Its implications on general public are dramatically increasing in the cultural level that divides community into different subcultures. Hence, the emotional aspect of people towards ‘Fashion Industry’ is rising at a rapid rate. The most important component of customer’s impression must be considered in terms of garment design in order to maintain leadership on the market. This paper aims to evaluate the emotional component of the garment with semantic differential. The process of evaluating consumer’s emotional experience consists of steps that provide an ability to classify the Kansei attribute of clothes. They are considered as key issues for the concept of recognition of images, and particularly emotions. Method based on Kansei Engineering model is used to develop the full range of emotional keywords and their affinity cluster. The result shows that this method will be a good reference to design studies that involved with user's personal emotional experience in the field of clothing design. This research intends to seek the psychological and emotional parameters that influence the selection of a particular dress and colour for female. The research involves the results of a designed survey.