3-D visual reconstruction without system calibration
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摘要: 为了解决传统三维重建需要依赖系统标定信息的问题，提出了一种基于相位图的不需要系统标定信息的三维视觉重建算法。首先使用结构光测量技术获得被测物体表面的相位图，再利用相位图的横向和纵向空间扭曲特性计算物体表面相对深度信息，最后实现被测物体的三维视觉重建。这种方法可以用在无法进行标定或无法获取标定信息的场合。实验结果表明，当被测物体表面结构简单时，这种方法的三维视觉重建效果较好。并通过对比传统三维重建结果验证了该方法的有效性。Abstract: A novel method of 3-D visual reconstruction without system calibration, which is based on phase map, is proposed to solve the problem of the dependency on calibration information in traditional 3-D reconstruction. Firstly, the phase map of the scanned object is obtained by structured light illumination. Then the horizontal and vertical spatial distortions of the phase image are used to calculate the relative depth of the scanned object. Finally, the 3-D visual reconstruction of the scanned object is realized. This method can be applied in some 3-D applications where the calibration information cant be obtained. Experiment results show good 3-D visual reconstruction result when the surface structure of the scanned object is simple. Comparing with the traditional 3-D reconstruction results, it is proved that this algorithm is valid.
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Key words:
- 3-D reconstruction /
- phase map /
- calibration information /
- structured light
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