Surface Construction from Kinect RGB-D Stream

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題名:	Surface Construction from Kinect RGB-D Stream
作者:	Wu, Shih-Jung, et al.
關鍵詞:	Surface fitting;Splines;Object segmentation;kinect;icp;surface construction;bicubic;bspline;rgb-d;point cloud
日期:	2016-08-08
上傳時間:	2019-05-14 12:10:25 (UTC+8)
出版者:	IEEE
摘要:	An object surface extraction from a set of point clouds extracted using a Kinect V2 sensor is presented here. First several point clouds are extracted from different angles around the object. Second point clouds are registered with each other using the Iterative Closest Point algorithm. If the angle between two camera positions is large, point clouds are manually rough aligned. Then iterative closest point algorithm provides a finer alignment. Next the object boundary is found enclosing all the points in the aligned and merged point cloud. After that a triangular mesh is created with the boundary points. Finally colors acquired from the original point cloud are applied on the triangular surface generated. For a better visual effect colors of the points are interpolated on the triangular mesh generated.
關聯:	2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
DOI:	10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20
顯示於類別:	[資訊創新與科技學系] 會議論文

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