Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 275-279, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B3-275-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
31 Jul 2012
KINECT-BASED REAL-TIME RGB-D IMAGE FUSION METHOD
W. Guo, T. Du, X. Zhu, and T. Hu State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University 129 Luoyu Road, Wuhan, Hubei, 430079, China
Keywords: Vision, Kinect, RGB-D, Modelling, Fusion, Indoor Environment, Matching Abstract. 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.
Conference paper (PDF, 565 KB)


Citation: Guo, W., Du, T., Zhu, X., and Hu, T.: KINECT-BASED REAL-TIME RGB-D IMAGE FUSION METHOD, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B3, 275-279, https://doi.org/10.5194/isprsarchives-XXXIX-B3-275-2012, 2012.

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