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一种动态稀疏式观测系统的场景重建方案

杨磊 李桂菊

计算机工程Issue(7):212-216,5.
计算机工程Issue(7):212-216,5.DOI:10.3969/j.issn.1000-3428.2014.07.042

一种动态稀疏式观测系统的场景重建方案

A Scene Reconstruction Scheme for Dynamical Sparse Mode Observation System

杨磊 1李桂菊2

作者信息

  • 1. 中国科学院长春光学精密机械与物理研究所,长春 130033
  • 2. 中国科学院大学,北京 100039
  • 折叠

摘要

Abstract

For achieving the ability to dynamically observe and densely reconstruct the large-scale object in the scene, a method is proposed to reconstruct the scene by using a dynamical observation system, and a corresponding system solution is designed to implement the method. By using sparse mode data-updating method, the target of reduction of system burden can be achieved by maintaining the observed data which can reduce updating ratio. The outliers can be suppressed by selecting the inliers with the referenced plane. By subdividing the initial polygon model and applying the hybrid modeling method to fit the local surface of the model, the target of objective structure reconstruction can be achieved from sparse to dense. The result shows that, by applying the updating times can be reduced from 9 times to 6 times, the observed points can be reduced from 4 154 to 3 414 and corresponding outliers ratio can be reduced from 20.94%to 17.19%. Under the condition of twice subdivisions, the ultimate number of cells on model can be reduced from 86 712 to 71 631, which can reduce the system burden and achieve the better visual effect on reconstruction.

关键词

单目视觉/密集重建/稀疏观测/宽基线/窄基线/混合建模

Key words

monocular vision/dense reconstruction/sparse observation/wide baseline/narrow baseline/hybrid modeling

分类

信息技术与安全科学

引用本文复制引用

杨磊,李桂菊..一种动态稀疏式观测系统的场景重建方案[J].计算机工程,2014,(7):212-216,5.

基金项目

国家自然科学基金资助项目“受控矢量模板的异源图像自动目标捕获定位方法和技术研究”(61172111)。 (61172111)

计算机工程

OA北大核心CSCDCSTPCD

1000-3428

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