CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Active Semantic Labeling of Street View Point Clouds
Zhou Y(周洋)1,2; Shen SH(申抒含)1,2; Hu ZY(胡占义)1,2
2019-07
Conference NameIEEE International Conference on Multimedia and Expo 2019
Conference Date2019-7-8~12
Conference PlaceShanghai, China
Abstract

Semantic 3D models have shown their importance in many fields such as autonomous driving. However, it remains a tough task to assign semantic labels to various scenes. In this paper, we propose an Active Learning based method for semantic labeling of street view point clouds with a small amount of annotated data samples. The proposed method takes a point cloud and registrated images as the input, and yields a point cloud with semantic labels. We iteratively fine-tunes a network with the ever-enlarging training set to exploit the semantic information of the scene, and fuse the semantic labels in 3D space. To deal with the imbalanced data in street view scenes, a label biased criterion for query selection is proposed to help select images to efficiently improve the performance of the network and the quality of the semantic model. Experimental result shows that the proposed method demands limited human labor and works well in assigning semantic labels to the imbalanced scenes like street view scenes.

KeywordSemantic Street View Active Learning
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23566
Collection模式识别国家重点实验室_机器人视觉
Corresponding AuthorShen SH(申抒含)
Affiliation1.中国科学院自动化研究所
2.中国科学院大学
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhou Y,Shen SH,Hu ZY. Active Semantic Labeling of Street View Point Clouds[C],2019.
Files in This Item: Download All
File Name/Size DocType Version Access License
0561_final.pdf(2070KB)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
[Zhou Y(周洋)]'s Articles
[Shen SH(申抒含)]'s Articles
[Hu ZY(胡占义)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou Y(周洋)]'s Articles
[Shen SH(申抒含)]'s Articles
[Hu ZY(胡占义)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou Y(周洋)]'s Articles
[Shen SH(申抒含)]'s Articles
[Hu ZY(胡占义)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 0561_final.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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