An Approach for 3D Reconstruction from Uncalibrated Images

2010 International Conference on Challenges in Environmental Science and Computer Engineering Pub Date : 2010-03-06 DOI:10.1109/CESCE.2010.128

Junsheng Li, Haicheng Xu, Shuai Liu, Lingli Zhao

引用次数: 3

Abstract

Three-dimensional (3D) reconstruction considering of image sequences is an unresolved and active research topic on the cross-section of computer vision and digital photogrammetry. In this paper, we focus on 3D object shape reconstruction from uncalibrated images and put forward a rapid algorithm to recover the object height. The recovering 3D shape comprises two steps, for the one hand, calculate homography transformation to obtain the outlines, for the other hand calculate the reconstructed object height by reference height proposed by the paper, and then recover the 3D object shape. This method requires no camera calibration or the estimation of the fundamental matrix; hence, it reduces the computational complexity by eliminating the requirement for abundant conjugate points. The experiment shows that the method is much validated and something useful is obtained.

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一种基于未校准图像的三维重建方法

考虑图像序列的三维重建是计算机视觉和数字摄影测量领域一个尚未解决的活跃研究课题。本文主要研究了从未标定图像中重建三维目标形状，并提出了一种快速恢复目标高度的算法。三维形状恢复包括两个步骤，一方面计算单应变换得到轮廓，另一方面根据本文提出的参考高度计算重建物体高度，然后恢复三维物体形状。该方法不需要相机校准或基本矩阵的估计;因此，它消除了对大量共轭点的要求，从而降低了计算复杂度。实验表明，该方法得到了很好的验证，并得到了一些有用的结论。

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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2010 International Conference on Challenges in Environmental Science and Computer Engineering

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