ヤノウ　アキラ   Akira Yanou   矢納　陽    所属   川崎医療福祉大学  医療技術学部 診療放射線技術学科    職種   教授
言語種別	英語
発表タイトル	String Shape Recognition Using Enhanced Matching Method From 3D Point Cloud Data
会議名	2015 IEEE/SICE International Symposium on System Intergaration (SII)
学会区分	国際学会及び海外の学会
発表形式	口頭
講演区分	一般
発表者・共同発表者	◎Tomoya Shirakawa, Takayuki Matsuno, Akira Yanou and Mamoru Minami
発表年月日	2015/12
開催地 （都市, 国名）	Nagoya, Japan
概要	The deformable object such as string, cloth and paper, is soft and can change its shape easily. It is difficult for a robot to manipulate deformable object because it needs to deal with various shape. For the operation of deformable object, it is important to recognize the shape of them. In our previous research, point chain model and the string shape recognition method were proposed. Point chain model is a structure to describe a string shape by a series of connections of points. And the string shape recognition method are algorithms to recognize a string shape from 3D point cloud data and output point chain model. However, the previous method sometimes occurred misrecognition of segments. Therefore, enhanced matching method is proposed to improve recognition performance.