Transactions of Japan Society of Kansei Engineering
Online ISSN : 1884-5258
ISSN-L : 1884-0833
Original Articles
An Approach to Silhouette Identification Realization for Fashion Images Using Deep Neural Networks
Tetsuo TSURUMasahiro SUGAHARAHaruhiko NISHIMURA
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2020 Volume 19 Issue 1 Pages 117-126

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Abstract

The objective of our studies is the inquiry into data set of the silhouette styling by machine learning for the luxury brands. The computer vision meets the visual fashion for the long years. Recently, computer vision techniques has been employed in algorithm of fashion recognition. But the aim of the computer vision is that the computer vision meets fashion but not that fashion meets computer visions. The luxury fashion consumer expects the favorite own beautiful silhouette styling, not simply the computer pictures. Therefore, silhouette learning of clothing by Neural Network Console needs to meet the personal professional styling knowledge.

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© 2019 Japan Society of Kansei Engineering
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