GDL

Journal from gdlhub / 2017-11-13 09:45:03
By : Eko Mulyanto Yuniarno, Mochamad Hariadi, Mauridhi Hery Purnomo, Kursor
Created : 2017-11-13, with 1 files

Keyword : Registration, Point Cloud; Surface Curvature Feature; Correspondence
Url : http://journal.trunojoyo.ac.id/kursor/article/view/1061/929
Document Source : WEB

3D computer model of a real object has been widely used in various applications such as motion capture, computer vision and computer graphics. To build a 3D computer model, multiview data point cloud of real object from different view point that obtained from a 3D scanner must be registered to placing the multiview data point cloud into a common coordinate system. Correspondence to find pair point matching is an important step in registration. False correspondence will affected to the registration quality.A novel technique of point correspondence correction between two point clouds is presented in this paper. The correspondence technique is started by selecting pair point matching candidate base on two reference point constraint then followed by correspondence correction using surface curvature feature. We tested the technique by applying thecorrespondence correction technique into three registration algorithm registration which is ICP, ICP-AIF and ICP-SCF then compare it with the original registration algorithm The result shows that registration algorithm using correspondence correction 63% faster, 23% more accurate and to find 530% more correct pair matching point than the original registration algorithm

Give Comment ?#(0) | Bookmark

Property	Value
Publisher ID	gdlhub
Organization	Kursor
Contact Name	Herti Yani, S.Kom
Address	Jln. Jenderal Sudirman
City	Jambi
Region	Jambi
Country	Indonesia
Phone	0741-35095
Fax	0741-35093
Administrator E-mail	elibrarystikom@gmail.com
CKO E-mail	elibrarystikom@gmail.com