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首页> 外文期刊>IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics >Silhouette-based 3-D model reconstruction from multiple images
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Silhouette-based 3-D model reconstruction from multiple images

机译：从多个图像重建基于轮廓的3-D模型

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The goal of this study is to investigate the reconstruction of three-dimensional (3-D) graphical models of real objects in a controlled imaging environment and present the work done in our group based on silhouette-based reconstruction. Although many parts of the whole system have been well-known in the literature and in practice, the main contribution of the paper is that it describes a complete, end-to-end system explained in detail. Based on a multi-image calibration method, an algorithm to extract the rotation axis of a turn-table has been developed. Furthermore, this can be extended to estimate robustly the initial bounding volume of the object to be modeled. The disadvantages of the silhouette-based reconstruction can be removed by an algorithm using photoconsistency. This algorithm has a simpler visibility check, and it eliminates the selection of threshold existing in similar algorithms. Besides, in order to construct the appearance, we use the concept of particles. The reconstruction results are shown both on real world and synthetic objects.
机译：这项研究的目的是研究在可控成像环境中真实对象的三维（3-D）图形模型的重建，并介绍基于剪影重建的小组研究工作。尽管整个系统的许多部分在文献和实践中都是众所周知的，但本文的主要贡献在于它描述了完整的，端到端的系统，并进行了详细说明。基于多图像校准方法，开发了一种提取转台旋转轴的算法。此外，可以扩展它以可靠地估计要建模的对象的初始边界体积。基于轮廓的重建的缺点可以通过使用光一致性的算法来消除。该算法具有更简单的可见性检查，并且消除了类似算法中现有阈值的选择。此外，为了构造外观，我们使用粒子的概念。重建结果显示在现实世界和合成对象上。

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