| 单视图线性三维重建的6点算法 |
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| 引用本文： | 杨忠根,张葆成.单视图线性三维重建的6点算法[J].上海海事大学学报,2006,27(2):42-45. |
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| 作者姓名： | 杨忠根 张葆成 |
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| 作者单位： | 上海海事大学,信息工程学院,上海,200135 |
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| 基金项目： | 上海市高等学校科学技术发展基金(01G02) |
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| 摘 要： | 通过建立目标特征点集深度矢量所在的零空间和目标模型矩阵的零空间之间的关系,开发从目标单视图线性地精确复原其三维位姿的新算法,该算法只需要6个特征点即可实现目标三维位姿的线性重建.理论分析和实验数据表明,该算法快速高效、简单实用、抗噪能力较强,还可以容易地推广应用于未标订单视图的三维重建.
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| 关 键 词： | 计算机视觉 三维重建 奇异值分解 零空间 6点算法 |
| 文章编号： | 1672-9498（2006）02-0042-04 |
| 收稿时间： | 2005-10-08 |
| 修稿时间： | 2006-02-23 |
6-point algorithm to linear 3D reconstruction from single-view |
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| YANG Zhonggen,ZHANG Baocheng.6-point algorithm to linear 3D reconstruction from single-view[J].Journal of Shanghai Maritime University,2006,27(2):42-45. |
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| Authors: | YANG Zhonggen ZHANG Baocheng |
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| Institution: | Information Eng. College, Shanghai Maritime Univ. , Shanghai 200135, China |
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| Abstract: | The correspondence relationship between the null space fell by the depth vector of the target imaged in the single-view and the null space of the model shape matrix of the target is built.A new algorithm to reconstruct the 3D pose of the imaged target linearly and exactly from single-view that only needs 6 points to get the solution is developed.The theoretical analysis and experiments have demonstrated that the suggested algorithm is fast,efficient,effective and rather robust to noise.Furthermore,the developed algorithm can be easily extended to reconstruct 3D pose of a target from its un-calibrated single-view. |
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| Keywords: | computer vision 3D reconstruction singular value decomposition null space 6-point algorithm |
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