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Thanks for sharing this impressive project, @jyjblrd About the camera pose computation, specifically when the fundamental matrix is being calculated*, how many correspondence points are required in this step? Does that mean at least 8 IR markers to perform the camera poses? If so, any hint on how to arrange them? *F, _ = cv.findFundamentalMat(camera1_image_points, camera2_image_points, cv.FM_RANSAC, 1, 0.99999) |
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Thanks @luislglp To calibrate the camera positions, simply click the Counterintuitively, I found that it works better when there are only a couple dozen points captured. Probably due to bad RANSAC parameters or something. More tips on camera pose calibration is in this discussion post: #23 (comment) |
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Thanks @luislglp
To calibrate the camera positions, simply click the
Collect points for camera pose calibration
button on the web interface, and move a single marker / IR led randomly throughout the capture area. Each frame where the marker can be seen by 2+ cameras will be recorded as a correspondence point.Counterintuitively, I found that it works better when there are only a couple dozen points captured. Probably due to bad RANSAC parameters or something. More tips on camera pose calibration is in this discussion post: #23 (comment)