A Decision Making Framework for Dressing Consultant
A Decision Making Framework for Dressing Consultant
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着装顾问的决策框架
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
D. Liu
中科院分区：
文献类型：
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作者：
Ching;D. Liu
该项目名为“着装顾问”，旨在提供一个系统，作为个人着装顾问，帮助普通用户在各种场合选择正确的服装。采用ALCOVE（attention learning covering network）神经网络模型对服装设计师进行训练。此外，在预处理阶段采用图像处理技术，以获得服装的基本数据，并建立一个数字衣柜的个人。当用户在为一个特殊的活动寻找服装时遇到困难时，用户可以做的是向系统做出服装风格的决定，并让系统在数字衣柜中穿过一件衣服，然后媒人将找到几对匹配的衣服。最后，最相似的合适和匹配的服装对显示在3D展示室。本文的研究重点是根据从服装行业中提取的服装分类规则和搭配规则来进行服装的正确搭配决策
The project, Dressing Consultant, aims to provide a system which functions as a personal wearing advisor to help general users choose a correct clothing for occasions. ALCOVE (attention learning covering network) neural network model is used to train the matchmaker as a fashion editor. In addition, image processing techniques are employed at pre-processing stage to obtain the essential data of garments and to build a digital wardrobe for individuals. On the occasions when user has trouble finding an outfit for a special event, what user could do is to make a decision of the style of apparel to the system and let the system go through piece of garments in the digital wardrobe, and the matchmaker will then find several matched pairs. Eventually, the most similarly suitable and matched garments pair is shown in 3D show room. This paper focuses on making decision of correct clothing according to those classifying and matching rules extracted from fashion industry