3D object recognition with integral imaging using neural networks

被引：3

作者：

Cuong Manh Do ^{[1
]}

机构：

[1] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA

来源：

APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXIV | 2011年 / 8135卷

关键词：

RECONSTRUCTION;

D O I：

10.1117/12.893046

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An overview of three-dimensional (3D) object recognition using neural networks is presented. Sensing and imaging of 3D objects is performed using an integral imaging optical set-up. Principal component analysis (PCA) is applied to lower the number of high dimensions. The neural network technique is applied to recognize 3D objects. Experimental results are presented together with computational results for performance assessment.

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页数：6

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