Visual Search Method for Garment Image Based on SIFT

Abstract:

How to meet the customers requirement in product search is an import problem. Because the high-growing of e-commerce, a new demand emerges: the special-purpose search engine for searching goods from network shop. Our work focuses on the garment retrieval from the e-shopping database, which supports feature-based retrieval by shape categories and styles. This paper uses color and style characteristics of the garment images as a query information, based on the SIFT algorithm retrieval feature points of the garment image, and then using K-Means method to cluster the feature points. Use features to retrieve matching image from database of garment images.

• Periodical: Applied Mechanics and Materials (Volumes 333-335)
• Pages: 920-923
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.333-335.920
• Online since: July 2013
• Authors: Zheng Dong Liu, Hong Yun Xiong, Ya Yan Wang
• Keywords: Garment Image, K-Mean, SIFT, Visual Search

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