Title :
Reconstruction of 3D point clouds information using elastic band algorithm
Author :
Younghwan Kim ; Joono Cheong
Author_Institution :
Dept. of Control & Instrum. Eng., Korea Univ., Sejong, South Korea
fDate :
Oct. 30 2013-Nov. 2 2013
Abstract :
A large amount of point cloud data requires computational load for identifying the object shapes. This study proposes a method to simplify 3-dimensional cloud data by using elastic band algorithm but to maintain geometric information. We present analytical geometric shapes model via Bezier curve. As an application of the reconstructed point cloud information, we show how to find suitable grasping points approximately.
Keywords :
computational geometry; computer graphics; image reconstruction; 3-dimensional cloud data; 3D point cloud information reconstruction; Bezier curve; analytical geometric shape model; elastic band algorithm; geometric information; object shape identification; Point cloud; data reconstruction; elastic band algorithm; power grasping;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4799-1195-0
DOI :
10.1109/URAI.2013.6677412
