基于同名点间距变换的三维显示参数匹配

杨勇; 徐于萍; 赵星; 步敬; 袁小聪

doi:10.3788/OPE.20122005.1084

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基于同名点间距变换的三维显示参数匹配

信息科学 | 更新时间：2020-08-12

- 基于同名点间距变换的三维显示参数匹配
- Parameter matching of three dimensional display based on space of corresponding image point transformation
- 光学精密工程 2012年20卷第5期页码：1084-1089
- 作者机构：
  
  南开大学现代光学研究所光学信息技术科学教育部重点实验室天津,300071
- 作者简介：
- 基金信息：
  
  国家973重点基础研究发展计划资助项目(No.2010CB327702)()
- DOI：10.3788/OPE.20122005.1084
  中图分类号： TB811.3;O435
- 收稿日期：2011-12-14，
  
  修回日期：2012-02-15，
  
  网络出版日期：2012-05-10，
  
  纸质出版日期：2012-05-10
- 稿件说明：
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杨勇, 徐于萍, 赵星, 步敬, 袁小聪. 基于同名点间距变换的三维显示参数匹配[J]. 光学精密工程, 2012,20(5): 1084-1089

YANG Yong, XU Yu-ping, ZHAO Xing, BU Jing, YUAN Xiao-cong. Parameter matching of three dimensional display based on space of corresponding image point transformation[J]. Editorial Office of Optics and Precision Engineering, 2012,20(5): 1084-1089
杨勇, 徐于萍, 赵星, 步敬, 袁小聪. 基于同名点间距变换的三维显示参数匹配[J]. 光学精密工程, 2012,20(5): 1084-1089 DOI： 10.3788/OPE.20122005.1084.

YANG Yong, XU Yu-ping, ZHAO Xing, BU Jing, YUAN Xiao-cong. Parameter matching of three dimensional display based on space of corresponding image point transformation[J]. Editorial Office of Optics and Precision Engineering, 2012,20(5): 1084-1089 DOI： 10.3788/OPE.20122005.1084.

摘要

传统集成成像系统以重构场景为记录场景的镜像

而当用相机阵列代替透镜阵列获取元素图像时

两种阵列参数的不匹配会破坏上述镜像关系。为了得到相机阵列获取的元素图像经透镜阵列重构后的物像关系

本文提出用同名点间距计算集成成像重构像距的方法。该方法通过获取端场景物距、相机焦距等参数

得到同名点间距

并等效至重构端透镜阵列系统来实现光学参数的匹配。理论计算表明

同名点间距不同

得到的重构像距也不同。对与透镜阵列参数匹配的同名点间距进行变换处理

即可精确再现不同重构像距的景物。最后

通过实验验证了本文所提方法的有效性。

Abstract

Three-dimensional scene is the mirror image of recording scene in a traditional integral imaging system. However

when a camera array is employed to capture elemental images

it can not be reconstructed correctly becaused of the mismatch between the parameters of lens array and the parameters of camera array. In order to rebuild a new relationship between the reconstructed image distance and the parameters of elemental images

a new method by using the Space of Corresponding Image Points (SCIP) to calculate the reconstructed image distance is proposed. In this method

the SCIP is a function of the object distance of scene

the focal length of camera and other parameters. It is equivalent to the lens array in the process of image reconstruction. By transforming the SCIP matched with the parameters of lens array

the scene with different reconstracted image distances can be reconstructed exactly. By experiments

this paper verifies that different SCIPs can result in different reconstructed image distances theoretically and experimentally.

关键词

Keywords

references

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