一种基于局部射流结构的全局图像特征构建方法

Q2 Computer Science

自动化学报 Pub Date : 2014-06-01 DOI:10.1016/S1874-1029(14)60012-4

Jin XIE , Zi-Xing CAI

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引用次数: 1

摘要

本文提出了一种新的鲁棒特征描述子，即局部射流结构上的多尺度自卷积(MSALJS)，它对仿射变换是拟不变的。MSALJS是一种全局图像特征描述符，它基于描述图像局部结构的导数来计算多尺度自卷积矩。实验数据表明，MSALJS可以用于物体以各种方式变形的实际应用，如特定遮挡、视角变化等。

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A Global Image Feature Construction Method Based on Local Jet Structure

This article presents a novel and robust feature descriptor called the multi-scale autoconvolution on local jet structure (MSALJS), which is quasi-invariant to affine transformation. The MSALJS, a global image feature descriptor, is based on the derivatives that describe the image local structure to compute the multi-scale autoconvolution moment. Experimental data demonstrate that the MSALJS can be used in practical applications in which the object is deformed in various ways, such as particular occlusion, view angle change, and so on.

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来源期刊

自动化学报 Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

4.80

自引率

0.00%

发文量

6655

期刊介绍： ACTA AUTOMATICA SINICA is a joint publication of Chinese Association of Automation and the Institute of Automation, the Chinese Academy of Sciences. The objective is the high quality and rapid publication of the articles, with a strong focus on new trends, original theoretical and experimental research and developments, emerging technology, and industrial standards in automation.