.png){kind=icon}
返回
Improved depth extraction method of 3D objects using computational integral imaging reconstruction based on multiple windowing techniques
.png){kind=icon}
PRE
AI
DOI：10.1016/j.optlaseng.2014.08.015.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents an improved depth extraction method of 3D objects using computational integral imaging reconstruction (CIIR) based on the multiple windowing models. The proposed method records 3D objects using the lenslet array; and it reconstructs multiple sets of slice images from multiple CIIR methods based on the different windowing models. A depth map is then extracted by a block matching algorithm among multiple set of slice images. A preliminary experiment is carried out to show the feasibility of the proposed method. Experimental results indicate the proposed method outperforms the previous method with two windowing models. (C) 2014 Elsevier Ltd. All rights reserved.
Keyword:
Integral imaging
3D image reconstruction
Elemental images
Depth extraction
Lenslet array
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.7
论文数:
7.3K
被引数:
1.7W
机构
引用论文
Artifact analysis and image enhancement in three-dimensional computational integral imaging using smooth windowing technique.png)
OPTICS LETTERS
OPTICS LETTERSIF3.3
PREAI
分享收藏Three-dimensional imaging and visualization using off-axially distributed image sensingOPTICS LETTERS
OPTICS LETTERSIF3.3
PREAI
分享收藏
查看更多内容