Depth Analysis of Greyscale Integral Images Using Continuous Multiview Wavelet Transform

被引：1

作者：

Saveljev, Vladimir ^{[1
]}

Palchikova, Irina ^{[2
,3
]}

机构：

[1] Myongji Univ, Dept Phys, NEMO Lab, Yongin 17058, Gyeonggi Do, South Korea

[2] RAS, SB, TDISIE, Ul Russkaya 41, Novosibirsk 630058, Russia

[3] NSU, Dept Phys, Ul Pirogova 2, Novosibirsk 630090, Russia

来源：

INTERNATIONAL JOURNAL OF OPTICS | 2018年 / 2018卷

基金：

俄罗斯基础研究基金会;

关键词：

3D DISPLAY; ISSUES;

D O I：

10.1155/2018/3151209

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The wavelet analysis of the integral images can be used in extraction of the depth of the photographed/synthesized 3D objects. The result of the analysis, however, depends on the colour/texture of the object and thus can be ambiguous. In this paper, we propose to normalize the image before processing in order to avoid such an ambiguity, and to extract the depth without regard to the colour/texture. The proposed technique is verified in multiple integral/plenoptic images and can be applied to multiview and light-field displays as well.

引用

页数：8

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