Abstract | ||
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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 |
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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 Ding | 1 | 261 | 41.04 |
Yi-Jun XIAO | 2 | 123 | 9.34 |
Peng Jiaxiong | 3 | 45 | 8.03 |
Dirk Schomburg | 4 | 2 | 0.41 |
Bjoern Krebs | 5 | 2 | 0.41 |
Friedrch M. Wahl | 6 | 2 | 0.41 |