如何检查恢复深度
我正在使用 2 个立体图像生成视差图。然后我使用正常的三角测量公式深度=焦距*基线/视差来获取深度。如何检查恢复的深度是否确实正确？有对此进行一些测试吗？我想有一些可调整的参数，例如将此深度乘以某个因子等，但这又更多地是反复试验。我正在寻找更具体的东西。视觉社区中的人们通常如何验证结果？
I am using disparity map generation from 2 stereoscopic images .And then I use the normal triangulation formula depth= focallength*baseline/disparity to get the depth .How can I check that the recovered depth is indeed correct? Is there some test for this ? I guess there are some tweak-able parameters like multiplying this depth by some factor etc but again that is more of trial and error.I am looking for something more concrete.How do people in the vision community generally verify the results?
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我建议您通过在现实世界中测量来验证图像中测量的深度。如果有一种方法可以验证您在图像中所做的测量......在图像中，那么您可能会首先使用这种方法来测量深度。
测量从相机到现实世界中某个物体的距离，并测量垂直于其中一个相机的轴的物体的尺寸。然后还测量图像中的距离和大小。您可以使用现实世界中的大小度量结合图像中对象的大小（以像素为单位）来缩放您计算的距离。结果应该与您测量的距离相符。
I suggest you verify the depth measured in your images by measuring it in the real world. If there was a way to verify the measurement you did in the images .. in the images then you probably would have used that way to measure depth in the first place.
Measure the distance from your camera to some object in the real world, and measure the size of the object perpendicular to the axis of one of the camera's. Then also measure the distance and size in your images. You use the size measure in the real world combined with the size of the object in pixels in the image to scale the distance you calculate. The result should match the distance you mesaured.