稀疏图像集的三维重建

2011 Irish Machine Vision and Image Processing Conference Pub Date : 2011-09-07 DOI:10.1109/IMVIP.2011.28

Jiao Tian, D. Molloy

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引用次数: 0

摘要

与基于大量图像的三维重建相比，基于稀疏图像集的三维重建需要更精确的视图几何估计。本文提出了一种基于小图像集的自动三维重建系统，该系统可以准确地估计不同视图之间的视图转换。当仅对部分场景进行初始重建时(通常出现在稀疏图像集中)，该系统可以构建更完整的3D结果。

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3D Reconstruction with Sparse Image Sets

3D reconstruction with sparse image sets requires more accurate view geometry estimation than a large number of images based 3D reconstruction. In this paper, we have proposed an automatic 3D reconstruction system based on a small set of images which can estimate the view transformation between different views accurately. The proposed system can build a more complete 3D result when only part of the scene has been initially reconstructed (which often appears in sparse image sets).

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2011 Irish Machine Vision and Image Processing Conference

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