CSpace  > 中国科学院计算技术研究所期刊论文  > 英文
RGB-D joint modelling with scene geometric information for indoor semantic segmentation
Liu, Hong; Wu, Wenshan; Wang, Xiangdong; Qian, Yueliang
2018-09-01
发表期刊MULTIMEDIA TOOLS AND APPLICATIONS
ISSN1380-7501
卷号77期号:17页码:22475-22488
摘要This paper focuses on the problem of RGB-D semantic segmentation for indoor scenes. We introduce a novel gravity direction detection method based on vertical lines fitting combined 2D vision information and 3D geometric information to improve the original HHA depth encoding. Then to fuse two-stream networks of deep convolutional networks from RGB and depth encoding, we propose a joint modelling method by learning a weighted summing layer to fuse the prediction results. Finally, to refine the pixel-wise score maps, we adopt fully-connected CRF as a post-processing and propose a pairwise potential function combined normal kernel to explore geometric information. Experimental results show our proposed approach achieves state-of-the-art performance of RGB-D semantic segmentation on public dataset.
关键词RGB-D Gravity direction Semantic segmentation CRF
DOI10.1007/s11042-018-6056-8
收录类别SCI
语种英语
资助项目Beijing Natural Science Foundation[4142051]
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000441364500039
出版者SPRINGER
引用统计
被引频次:24[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/5094
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Liu, Hong
作者单位Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Liu, Hong,Wu, Wenshan,Wang, Xiangdong,et al. RGB-D joint modelling with scene geometric information for indoor semantic segmentation[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(17):22475-22488.
APA Liu, Hong,Wu, Wenshan,Wang, Xiangdong,&Qian, Yueliang.(2018).RGB-D joint modelling with scene geometric information for indoor semantic segmentation.MULTIMEDIA TOOLS AND APPLICATIONS,77(17),22475-22488.
MLA Liu, Hong,et al."RGB-D joint modelling with scene geometric information for indoor semantic segmentation".MULTIMEDIA TOOLS AND APPLICATIONS 77.17(2018):22475-22488.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Liu, Hong]的文章
[Wu, Wenshan]的文章
[Wang, Xiangdong]的文章
百度学术
百度学术中相似的文章
[Liu, Hong]的文章
[Wu, Wenshan]的文章
[Wang, Xiangdong]的文章
必应学术
必应学术中相似的文章
[Liu, Hong]的文章
[Wu, Wenshan]的文章
[Wang, Xiangdong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。