CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Large Scale Urban Scene Modeling from MVS Meshes
Lingjie Zhu1,2; Shuhan Shen1,2; Xiang Gao1,2; Zhanyi Hu1,2
2018-09
Conference NameEuropean Conference on Computer Vision
Conference Date2018年9月8日至14日
Conference Place德国慕尼黑
Abstract

In this paper we present an efficient modeling framework for large scale urban scenes. Taking surface meshes derived from multiview-stereo systems as input, our algorithm outputs simplified models with semantics at different levels of detail (LODs). Our key observation is that urban building is usually composed of planar roof tops connected with vertical walls. There are two major steps in our framework: segmentation and building modeling. The scene is first segmented into four classes with a Markov random field combining height and image features. In the following modeling step, various 2D line segments sketching the roof boundaries are detected and slice the plane into faces. Through assigning each face with a roof plane, the final model is constructed by extruding the faces to the corresponding planes. By combining geometric and appearance cues together, the proposed method is robust and fast compared to the state-of-the-art algorithms.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23885
Collection模式识别国家重点实验室_机器人视觉
Corresponding AuthorShuhan Shen
Affiliation1.NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China
2.University of Chinese Academy of Sciences, Beijing, China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Lingjie Zhu,Shuhan Shen,Xiang Gao,et al. Large Scale Urban Scene Modeling from MVS Meshes[C],2018.
Files in This Item: Download All
File Name/Size DocType Version Access License
ECCV'18.pdf(5205KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lingjie Zhu]'s Articles
[Shuhan Shen]'s Articles
[Xiang Gao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lingjie Zhu]'s Articles
[Shuhan Shen]'s Articles
[Xiang Gao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lingjie Zhu]'s Articles
[Shuhan Shen]'s Articles
[Xiang Gao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: ECCV'18.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.