Surface Construction from Kinect RGB-D Stream
學年 105
學期 1
發表日期 2016-08-08
作品名稱 Surface Construction from Kinect RGB-D Stream
作品名稱（其他語言）
著者 Wu, Shih-Jung, et al.
作品所屬單位
出版者
會議名稱 2016 IEEE Cyber Science and Technology Congress (CyberSciTech 2016)
會議地點 Auckland, New Zealand
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.
關鍵字 Surface fitting;Splines;Object segmentation;kinect;icp;surface construction;bicubic;bspline;rgb-d;point cloud
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20160808~20160812
通訊作者
國別 NZL
公開徵稿
出版型式
出處 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)
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116632 )