Title
3D reconstruction of free-formed line-like objects using NURBS representation
Abstract
3D reconstruction of arbitrary free-formed objects is an important and challenging problem in computer vision. In this paper, we first discuss the importance of primitive selection in 3D reconstruction. Subsequently, a theorem, which reveals the perspective invariance of NURBS, is shown, making it a good choice as primitive in 3D reconstruction. Consequently, based on this theorem a new paradigm of free-formed line-like object reconstruction using NURBS as primitives is proposed. Furthermore, an approach for determining weights for 3D NURBS is presented, and the width effect of curved line-like objects is analyzed. Finally, experiments with line-like objects and machine part demonstrate the feasibility of our approach and prove the superiority of our approach over the point- or segment-based approaches as well as the B-spline-based reconstruction approach in terms of robustness and accuracy.
Year
DOI
Venue
2003
10.1016/S0031-3203(02)00095-X
Pattern Recognition
Keywords
Field
DocType
3D reconstruction,Free-formed objects,NURBS,Line-like objects
Computer vision,Invariant (physics),Robustness (computer science),Artificial intelligence,Mathematics,3D reconstruction
Journal
Volume
Issue
ISSN
36
6
0031-3203
Citations 
PageRank 
References 
2
0.41
30
Authors
6
Name
Order
Citations
PageRank
Mingyue Ding126141.04
Yi-Jun XIAO21239.34
Peng Jiaxiong3458.03
Dirk Schomburg420.41
Bjoern Krebs520.41
Friedrch M. Wahl620.41