Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/99335
Title: Kinect-based easy 3D object reconstruction
Authors: Cham Tat Jen (SCE)
Xu, Di
Cai, Jianfei
Fu, Philip
Zhang, Juyong
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Xu, D., Cai, J., Cham, T. J., Fu, P., & Zhang, J. (2012). Kinect-Based Easy 3D Object Reconstruction. 13th Pacific-Rim Conference on Multimedia, PCM 2012, 7674, 476-483.
Abstract: Inspired by the recently developed KinectFusion technique, which is able to reconstruct a 3D scene in real time through moving Kinect, we consider improving KinectFusion for 3D reconstruction of a real object. We make some adaptations to KinectFusion so as to identify the object-of-interest and separate the 3D object model from the entire 3D scene. Moreover, considering that the 3D object model generated by KinectFusion often contains some clearly visible outliers due to the noisy Kinect data, we propose a refinement scheme to remove the outliers. Our basic idea is to make use of the existing powerful 2D segmentation tool to refine the silhouette in each color image and then form visual hull via the refined dense silhouettes to improve the 3D object model. Experimental results show improved performance.
URI: https://hdl.handle.net/10356/99335
http://hdl.handle.net/10220/17250
DOI: http://dx.doi.org/10.1007/978-3-642-34778-8_44
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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