上海交通大学学报

上海交通大学学报（自然版） ›› 2012, Vol. 46 ›› Issue (06): 859-864.

• 无线电电子学、电信技术 • 上一篇    下一篇

加 窗 时 空 分 析 法 实 现 三 维 测 量

张旭1，朱利民2   

  1. (1. 上海大学 机电工程与自动化学院; 上海市机械自动化及机器人重点实验室， 上海 200072；2. 上海交通大学 机械系统与振动国家重点实验室， 上海 200240)
  • 收稿日期:2011-06-23 出版日期:2012-06-28 发布日期:2012-06-28
  • 基金资助:

    国家自然科学基金项目（51121063，51075252），上海市基础研究重点项目(10JC14080000)

Fast 3D Measurement through Windowed Space-Time Analysis

 ZHANG  Xu-1, ZHU  Li-Min-2   

  1. (1. School of Mechatronic Engineering and Automation； Shanghai Key Laboratory of Manufacturing Automation and Robotics,  Shanghai University, Shanghai 200072, China; 2. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2011-06-23 Online:2012-06-28 Published:2012-06-28

摘要： 分析了传统时空分析法空间和时间成本，发现过多无效数据的处理是导致计算效率低下的原因，提出了加窗时空分析法.该方法通过对时间序列的数据进行加窗截取，缩小了数据计算范围，从而减轻了内存负担，提高了计算效率.同时，小窗口的浮动特性使得延迟计算时间缩小到1/2窗口值，并且可实现随着图像的获取进行逐帧计算.对3个实验物体进行三维测量，曲面实验结果精细正确.在与传统时空分析法的定量比较中，该方法结果与传统方法结果在距离阈值10-6下的正确率和回调率高达99.8%，且计算时间仅为传统方法的2%.因此，加窗时空分析法使用较小的计算成本实现了高质量的计算结果.

关键词:  , 时空分析法, 三维测量, 高斯滤波

Abstract: Space-time analysis is one of the most robust methods to measure 3D shape.  However, it has some disadvantages, such as large storage burden, high computational load, long waiting time. A fast space-time analysis was proposed which applies the windowed data instead of the whole time series data. The new method greatly reduces the computational load,  storage burden and  waiting time. The experiments on three test objects were implemented. The surfaces using the proposed method are very fine, even the small texture and wave on the surface are also reconstructed. In the quantitative comparison with the traditional spacetime analysis, the accuracies and recalls are as high as 99.8%. what is move, the efficiency is enhanced rapidly. The computational time is just 2% of the traditional one. The experiment results confirm that the windowed space-time analysis can obtain high quality computing result while using very low computing cost.

Key words: space-time analysis, three dimensional measurement； Gaussian filter

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