文章基本信息

标题：Enhanced SIFT Descriptor Based on Modified Discrete Gaussian-Hermite Moment
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作者：Kang, Tae-Koo ; Zhang, Huazhen ; Kim, Dong W. 等
期刊名称：ETRI Journal
印刷版ISSN：1225-6463
电子版ISSN：2233-7326
出版年度：2012
卷号：34
期号：4
页码：572-582
DOI：10.4218/etrij.12.0111.0538
语种：English
出版社：Electronics and Telecommunications Research Institute
摘要：The discrete Gaussian-Hermite moment (DGHM) is a global feature representation method that can be applied to square images. We propose a modified DGHM (MDGHM) method and an MDGHM-based scale-invariant feature transform (MDGHM-SIFT) descriptor. In the MDGHM, we devise a movable mask to represent the local features of a non-square image. The complete set of non-square image features are then represented by the summation of all MDGHMs. We also propose to apply an accumulated MDGHM using multi-order derivatives to obtain distinguishable feature information in the third stage of the SIFT. Finally, we calculate an MDGHM-based magnitude and an MDGHM-based orientation using the accumulated MDGHM. We carry out experiments using the proposed method with six kinds of deformations. The results show that the proposed method can be applied to non-square images without any image truncation and that it significantly outperforms the matching accuracy of other SIFT algorithms.
关键词：SIFT;modified discrete Gaussian-Hermite moments (MDGHM);local feature extraction