您是否可以推荐参考数据源进行基本矩阵计算 [英] Can you recommend a source of reference data for Fundamental matrix calculation
问题描述
特别地，理想情况下，我希望图像具有点对应关系，并具有F和左右两极的黄金标准"计算值.我也可以使用基本矩阵以及内部和外部相机属性.
Specifically I'd ideally want images with point correspondences and a 'Gold Standard' calculated value of F and left and right epipoles. I could work with an Essential matrix and intrinsic and extrinsic camera properties too.
我知道我可以从两个投影矩阵构造F，然后从3D实际点生成左右投影点坐标，并应用高斯噪声，但是我真的想使用其他人的参考数据，因为我试图测试我的代码的效率并编写更多代码来测试第一批(可能是错误的)代码似乎并不明智.
I know that I can construct F from two projection matrices and then generate left and right projected point coordinates from 3D actual points and apply Gaussian noise but I'd really like to work with someone else's reference data since I'm trying to test the efficacy of my code and writing more code to test the first batch of (possibly bad) code doesn't seem smart.
感谢您的帮助
问候 戴夫
推荐答案
您应该使用地面真实数据集进行多视图重建.我建议使用 Middlebury多视图立体声数据集.除了无损格式的图像数据外，它们还提供相机参数，例如相机姿势和相机固有校准，以及评估您自己的多视图重建系统的可能性.
You should work with ground truth datasets for multi-view reconstructions. I recommend to use the Middlebury Multi-View Stereo datasets. Besides the image data in lossless format, they deliver camera parameters, such as camera pose and intrinsic camera calibration as well as the possibility to evaluate your own multi-view reconstruction system.
也许，结果不是通过Hartley和Zisserman的书中提出的黄金标准"算法来计算的，但是您可以使用它来计算两个视图之间所需的基本矩阵.
Perhaps, the results are not computed by "the" gold standard algorithm proposed in the book of Hartley and Zisserman but you can use it to compute the fundamental matrices you require between two views.
To compute the fundamental matrix F from two projection matrices P1 and P2 refer to the code Andrew Zisserman provides.
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