Matlab的三维重建 [英] Matlab 3D reconstruction

问题描述

最近，我必须做在这个2周多视图三维扫描的项目，我通过所有的书籍，杂志和网站的三维重建，包括Mathworks公司的例子等搜查。我写了一个编码，以两个图像之间跟踪匹配点和重建成3D绘图。然而，尽管使用detectSURFFeatures（）和extractFeatures（）函数，仍然有一些对象点的是不被跟踪。我该如何重建他们也在我的3D模式？

Recently, I have to do a project of multi view 3D scanning within this 2 weeks and I searched through all the books, journals and websites for 3D reconstruction including Mathworks examples and so on. I written a coding to track matched points between two images and reconstruct them into 3D plot. However, despite of using detectSURFFeatures() and extractFeatures() functions, still some of the object points are not tracked. How can I reconstruct them also in my 3D model?

推荐答案

您在找什么叫密集的重建。要做到这一点，最好的办法就是与校准相机。然后，您可以纠正图像，计算视差对每个像素（理论上），然后让3D世界坐标的每一个像素。请看看这个立体声标定和现场重建的例子。

What you are looking for is called "dense reconstruction". The best way to do this is with calibrated cameras. Then you can rectify the images, compute disparity for every pixel (in theory), and then get 3D world coordinates for every pixel. Please check out this Stereo Calibration and Scene Reconstruction example.

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