Three-dimensional object rotation-tolerant recognition for integral imaging using synthetic discriminant function

被引：0

作者：

Hao, Jinbo ^{[1
]}

Wang, Xiaorui ^{[1
]}

Zhang, Jianqi ^{[1
]}

Xu, Yin ^{[1
]}

机构：

[1] Xidian Univ, Sch Tech Phys, Xian 710071, Shaanxi, Peoples R China

来源：

OPTICS COMMUNICATIONS | 2013年 / 292卷

关键词：

3-D object recognition; Rotation-tolerant; Integral imaging; Synthetic discriminant function; RECONSTRUCTION;

D O I：

10.1016/j.optcom.2012.11.068

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

This paper presents a novel approach of three-dimensional object rotation-tolerant recognition that combines the merits of Integral Imaging (II) and Synthetic Discriminant Function (SDF). SDF aims at filters and distortion-tolerant recognition, and we use it for three-dimensional (3-D) rotation-tolerant recognition with II system. Using high relevancy of elemental images of II, the approach can not only realize 3-D rotation-tolerant recognition, but also reduce computational complexity. The correctness has been validated by experimental results. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：73 / 77

页数：5

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