我正试图用开放式手法撰写节目,以计算从网络运动到一个白面的距离。 我认为,这同样应该非常容易,但出于任何原因,我 m一空。 提前提供帮助。
You can use triangle similarity to calibrate the camera angle and find the distance.
You know your ball s size: D units (e.g. cm). Place it at a known distance Z, say 1 meter = 100cm, in front of the camera and measure its apparent width in pixels. Call this width d.
The focal length of the camera f (which is slightly different from camera to camera) is then f=d*Z/D.
当你看到该球再次照相机时,其表面宽度为<条码>d pixels,然后按三角相近,你知道<条码>f/d =Z www.un.org/chinese/ga/president
To my mind you will need a camera model = a calibration model if you want to measure distance or other things (int the real-world). The pinhole camera model is simple, linear and gives good results (but won t correct distortions, (whether they are radial or tangential).
如果你不使用,那么你就能够赞扬差异深刻的地图(例如,如果你使用定型观点),但是它相对比较,没有给你绝对的衡量,只是背后的东西和另一个目标前面的东西。
因此,我想答案是:你需要做些什么校准,或许你可以要求用户接近照相机,直到所有影像机都完全填满球,并且事先知道气球测量,你就能够计算距离。
Julien,
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