The problem of 3D object recognition has been one that has perplexed the computer vision community for the past two decades. This paper describes and analyzes techniques which have been developed for object representation and recognition. A set of specifications, which all object recognition systems
3D reconstruction of free-formed line-like objects using NURBS representation
β Scribed by Mingyue Ding; Yijun Xiao; Jiaxiong Peng; Dirk Schomburg; Bjoern Krebs; Friedrch M. Wahl
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 398 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
β¦ Synopsis
3D reconstruction of arbitrary free-formed objects is an important and challenging problem in computer vision. In this paper, we ΓΏrst 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 e ect 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.
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