Volume 14, Issue 5 (8-2014)                   Modares Mechanical Engineering 2014, 14(5): 155-163 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

khalili K, Foorginejad A. Using homogeneous neighborhood in point clouds normal vector calculation. Modares Mechanical Engineering. 2014; 14 (5) :155-163
URL: http://mme.modares.ac.ir/article-15-10547-en.html
Abstract:   (4452 Views)
Point based 3D modeling has recently received greater attention, mainly due to its simplicity. One of the most fundamental operations for point set processing is to find the neighbors of each point in point clouds. This paper presents a new method called homogeneous neighborhood for determining neighbors in point clouds. This method of choosing neighbors, in addition to the distance takes into consideration the directional balance by improving the k nearest neighbors. The directional balance describes whether the neighbors are well spread around the point of concern. In this study effects of selecting neighbors on normal vector estimation are investigated. Normal vector is calculated using homogeneous neighborhood. For evaluation of the proposed method in determining neighbors, normal vector are calculated using the k nearest neighbors. The results show that the homogeneous neighborhood method is more accurate in normal vector estimation than the k nearest method. For evaluation of the homogeneous neighborhood method, it was employed in point cloud registration application. The results of registration by using the homogeneous neighborhood show that this method of neighbor selection yields reduced registration errors.
Full-Text [PDF 979 kb]   (4461 Downloads)    
Article Type: Research Article | Subject: Manufacturing Methods
Received: 2013/12/3 | Accepted: 2013/12/7 | Published: 2014/06/23

Add your comments about this article : Your username or Email:
CAPTCHA