3维子空间约束的遮挡点恢复方法

刘侍刚 1; 彭亚丽 2; 韩崇昭 1; 王英华 1

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3维子空间约束的遮挡点恢复方法

更新时间：2025-07-09

- 3维子空间约束的遮挡点恢复方法
- An Occlusion Recovery Method Based on 3D Subspace
- 西安交通大学学报 2009年43卷第4期页码：10-13
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2008-06-04. 作者简介: 刘侍刚(1973-),男,讲师. 基金项目: 国家自然科学基金资助项目(60805016);高等学校博士学科专项科研基金新教师基金资助项目(200807181007);国家重点基础研究发展规划资助项目(2007CB311006)
- DOI：
  中图分类号： P232;TP391.41
- 网络首发：2009-04-10，
  
  纸质出版：2009
- 稿件说明：
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刘侍刚 1, 彭亚丽 2, 韩崇昭 1, 等. 3维子空间约束的遮挡点恢复方法[J]. 西安交通大学学报, 2009,43(4):10-13.

An Occlusion Recovery Method Based on 3D Subspace[J]. 2009, 43(4): 10-13.
刘侍刚 1, 彭亚丽 2, 韩崇昭 1, 等. 3维子空间约束的遮挡点恢复方法[J]. 西安交通大学学报, 2009,43(4):10-13. DOI：

An Occlusion Recovery Method Based on 3D Subspace[J]. 2009, 43(4): 10-13. DOI：

摘要

为了有效地恢复跟踪过程中丢失的特征点

假设相机为正投影模型

提出了一种遮挡点恢复方法

其主要是利用所有的图像序列构成的、由行向量生成的线性子空间之和与空间结构点构成的、由行向量生成的子空间是同一个线性子空间的特性

构造了一种线性迭代算法.该方法的优点是在求解遮挡点的位置时

利用了所有的图像点信息

而且将所有的图像及图像点平等地看待.模拟、真实实验表明

所提方法的重投影误差仅比原有图像的噪声约大15%

这说明算法具有较好的收敛性.

Abstract

To recovery the occlusions during feature track

a method for occlusion recovery is presented based on 3D subspace under orthographic projection. The method mainly relies on the fact that the rows in the matrix including all the image points span the same linear subspace as the rows in the matrix including all the space points. A linear iterative algorithm is hence proposed. The advantages of the proposed method are that the positions of the occlusions are found from all the visible points

and all the images as well as all the image points are treated in the same way. The experiments with both simulated and real data sets show that the re-projection error of the method is approximately 15% higher than the image noise

and the method has good convergence property with small errors.

关键词

Keywords

references

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