Colour object recognition combining motion descriptors, zernike moments and support vector machine

被引：0

作者：

Smach, Fethi ^{[1
,2
]}

Lemaitre, Cedric ^{[1
]}

Miteran, Johel ^{[1
]}

Gauthier, Jean Paul ^{[1
]}

Abid, Mohamed ^{[2
]}

机构：

[1] Univ Burgundy, LeSi, BP 47870, F-21078 Dijon, France

[2] Univ Sfax, CES Lab, Sfax, Tunisia

来源：

IECON 2006 - 32ND ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS, VOLS 1-11 | 2006年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fourier descriptors have been used successfully in the past to grey-level images, rigid bodied object. Here we used Motion Descriptors (MD) introduced recently by Gauthier et al., combined with Zernike Moments (ZM), in order to perform a recognition task in colour images. The feature vector for the MD obtained for each object appears to be unique and can be used for shape recognition. The MD, alone or combined with ZM, are used as an input of a Support Vector Machine (SVM) based classifier. We illustrate results on three available datasets: ORL faces database, COIL-100, which consists of 3D objects and A R faces.

引用

页码：12 / +

页数：2

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