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立体声SGBM与WLS视差图中的视差值差异

[英]Disparity value difference in Stereo SGBM vs. WLS disparity maps

I have been working on a stereo imaging project for a few months now. 我从事立体成像项目已有几个月了。 The goal is to track a defined object, compute its position (by using triangulation with stereo camera) and its orientation (by using an IMU). 目标是跟踪已定义的对象,计算其位置(通过使用立体相机进行三角测量)和方向(通过使用IMU)。 I get really good results, but there is something I don't understand and it's bothering me : the minimum depth in the disparity map obtained after using the WLS filter function available in OpenCV is not the same as the minimum depth in the disparity map obtained with the stereo SGBM algorithm. 我得到了很好的结果,但是我有些不明白,这让我很困扰:使用OpenCV中提供的WLS滤镜功能后,视差图中的最小深度与获得的视差图中的最小深度不同立体声SGBM算法。 Why ? 为什么呢

任何有想法的人都可以吗?

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