标题:Parsing main structures of indoor scenes from single RGB-D image
作者:Zhou, Yuanfeng; Xu, Hui; Pan, Xiao; Zhang, Caiming
作者机构:[Zhou, Yuanfeng; Xu, Hui; Pan, Xiao; Zhang, Caiming] Shandong Univ, Sch Comp Sci & Technol, ShunHua Rd 1500, Jinan 250101, Peoples R China.
会议名称:Asian Conference on Design and Digital Engineering (ACDDE)
会议日期:NOV 04-06, 2015
来源:JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING
出版年:2016
卷:10
期:8
DOI:10.1299/jamdsm.2016jamdsm0102
关键词:Main structure; RGB-D image; Indoor scenes; Clustering; Ray-casting
摘要:Parsing indoor scenes from RGB-D imagery is a significant and challenging task in image understanding and computer vision. Since the walls, floor and ceiling are the main structures of indoor scenes, we propose a simple and efficient method to find them from a single depth image. We use the prior knowledge of the walls, floor and ceiling and distance histogram to obtain their planes, and delimit their extents by ray-casting. Our method can also detect the open windows or doors and other planes which have large area in indoor scenes. Experimental results show that our method is more robust to find the main structures of the indoor scenes than the existing method.
收录类别:CPCI-S;EI;SCOPUS;SCIE
WOS核心被引频次:2
Scopus被引频次:3
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994669321&doi=10.1299%2fjamdsm.2016jamdsm0102&partnerID=40&md5=0d171f5870a125c03ca843ee64b34549
TOP