.png){kind=icon}
返回
Accurate Multiple View 3D Reconstruction Using Patch-Based Stereo for Large-Scale Scenes
.png){kind=icon}
PRE
AI
DOI：10.1109/TIP.2013.2237921.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we propose a depth-map merging based multiple view stereo method for large-scale scenes which takes both accuracy and efficiency into account. In the proposed method, an efficient patch-based stereo matching process is used to generate depth-map at each image with acceptable errors, followed by a depth-map refinement process to enforce consistency over neighboring views. Compared to state-of-the-art methods, the proposed method can reconstruct quite accurate and dense point clouds with high computational efficiency. Besides, the proposed method could be easily parallelized at image level, i.e., each depth-map is computed individually, which makes it suitable for large-scale scene reconstruction with high resolution images. The accuracy and efficiency of the proposed method are evaluated quantitatively on benchmark data and qualitatively on large data sets.
Keyword:
3D reconstruction
depth-map
multiple view stereo (MVS)
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:
13.7
论文数:
1.0W
被引数:
8.4W
机构
暂无机构信息
引用论文
Flexible Dispatch for Integrated Power and Gas Systems Considering Power-to-Gas and Demand Response.png)
Energies
OAAI
EnergiesIF0
OAAI分享收藏
Effect of Amphoteric Acrylic Retanning Agent on the Physical Properties of the Resultant Leather
PREAI
分享收藏
查看更多内容