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.