Clothes Image Searching System Based on CTS

2009 International Conference on Communication Software and Networks Pub Date : 2009-02-27 DOI:10.1109/ICCSN.2009.34

O. Yi, Sanyuan Zhang

引用次数: 2

Abstract

One of the main difficulties in Clothes image searching is the variability of appearance of an object of interest. Clothes image feature extraction is a very active research area under this situation. Through build a Clothes concept semantic structure Clothes Tree Semantic Structure, the Clothes Image Searching System based on Scale Invariant Feature Transform(SIFT) is proposed in the paper. Experiment on an image database of about 5,000 general-purpose images, results show that our algorithm is more efficient than existing algorithms based on color histogram or corners features

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基于CTS的服装图像搜索系统

服装图像搜索的主要困难之一是感兴趣对象外观的可变性。在这种情况下，服装图像特征提取是一个非常活跃的研究领域。本文通过构建服装概念语义结构“服装树”语义结构，提出了基于尺度不变特征变换(SIFT)的服装图像搜索系统。实验结果表明，该算法比现有的基于颜色直方图或角点特征的算法效率更高

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2009 International Conference on Communication Software and Networks

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