基于草图的裙摆图像检索

Shin-ichiro Kondo, M. Toyoura, Xiaoyang Mao
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引用次数: 8

摘要

尽管许多网上商店允许用户通过类别或关键词搜索服装,但通常无法指定设计的细节。提出了一种基于草图的裙子图像检索新技术。我们首先进行了一项用户研究,以调查在草图中说明的典型特征。然后开发了从裙摆图像和草图中自动提取这些特征的算法。当用户交互地在画布上画出她想象中的裙子时,实现了一个原型系统,可以实时检索和呈现最匹配的裙子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sketch based skirt image retrieval
Although many online shops allow users to search for clothes by categories or keywords, it is usually impossible to specify the details of the design. This paper presents a new technology for retrieving skirt images based on sketches. We first conducted a user study to investigate the typical features illustrated in a sketch. Then algorithms have been developed for automatically extracting those features from both the skirt images and the sketches. A prototype system has been implemented to retrieve and present the best matched skirts in real time when a user interactively sketches her imagined skirt on the canvas.
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