一种新的线性光流三维重建算法

2009 International Asia Conference on Informatics in Control, Automation and Robotics Pub Date : 2009-02-01 DOI:10.1109/CAR.2009.98

Zhen Chen, Ming Li, Shaofeng Jiang, Shui-gen Wei, Yu Wang

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引用次数: 2

摘要

本文给出了直线光流的一个新的数学定义。利用连续3帧图像中的21个直线光流，建立三维运动参数方程，得到三维物体的12个运动参数和三维直线坐标。通常，很难找到对应的21条直线。本文通过求解非线性方程，得到三维物体的12个运动参数和三维直线的坐标，需要在3个连续的图像帧中至少6个直线光流。利用这些参数和坐标可以重建三维场景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A New Non-Linear Algorithm for 3D Reconstruction from Straight-line Optical Flow

This paper presents a new mathematical definition of straight-line optical flow. By using 21 straight-line optical flows in 3 consecutive image frames, a set of equations about 3D motion parameters are established to obtain 12 motion parameters of 3D object and coordinates of the 3D straight line. Usually, it is difficult to find the 21 straight lines on correspondence. In this paper, a minimum of 6 straight-line optical flows in 3 consecutive image frames is required to obtain 12 motion parameters of 3D object and coordinates of the 3D straight line, by solving non-linear equations. With the parameters and coordinates a 3D scene can be reconstructed.

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来源期刊

2009 International Asia Conference on Informatics in Control, Automation and Robotics

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