文章基本信息

标题：KINECT-BASED REAL-TIME RGB-D IMAGE FUSION METHOD
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作者：W. Guo ; T. Du ; X. Zhu 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2012
卷号：XXXIX-B3
页码：275-279
DOI：10.5194/isprsarchives-XXXIX-B3-275-2012
出版社：Copernicus Publications
摘要：3D reconstruction of indoor environments based on vision has been developed vigorously. However, the algorithm's complexity and requirements of professional knowledge make it restricted in practical application. With the proposition of the concept of Volunteered Geographic Information (VGI), the traditional method is no longer suitable for VGI. So in this work we utilize consumer depth cameras – Kinect to enable non-expert users to reconstruct 3D model of indoor environment with RGB-D data. Considering the possibility of camera tracking failure we propose a method to perform automatic relocalization
关键词：Vision; Kinect; RGB-D; Modelling; Fusion; Indoor Environment; Matching