问题
I am working on Stereo vision task and I would like to get the distance between stereo vision cameras and the object. I am using Matlab with Computer Vision System Toolbox.
I have calibrated cameras with using "Camera Calibration Toolbox for Matlab" thus I have Intrinsic parameters of left and right camera and Extrinsic parameters (position of right camera wrt left camera). I have also a pair of rectified pictures and thier disparity map. For estimation of disparity I have used Matlab function disparity(). I know the baseline and the focal length of cameras but my results are still wrong.
baseline = 70 mm
focal length = 25 mm
disparity = 60 pixels
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depth = baseline * focal length / disparity = 70 * 25 / 60 = 29 mm
But I know that the distance is cca 600 mm. Is this formula right? What about the units? mm * mm / pixel != mm. And especially I would like to use Camera matrix (Intrinsic parameters) for calculation but I didn't figure out how. I would be thankful for any hint.
回答1:
Like you said, you have to convert the unit into mm. And for that you need this formulas
z = (b*F) / (d*s)
mm = (mm * mm) / (pixel * (mm/pixel))
Where
- z = depth in mm
- b = baseline in mm
- F = focal length in mm
- d = depth in pixel
- s = sensor size in mm/pixel. (Normally it provide in um, so do conversion before).
EDIT
Sometime your focal is in pixel so you don't need to use the sensor size. So just use your formula :
z = b*F / d
mm = mm * pixel / pixel
来源：https://stackoverflow.com/questions/19956910/stereo-vision-depth-estimation