stereo-3d

问题 I am new in OpenCV, and could not find normal tutorial for stereoCalibration on Python. If you have some samples, please share. I do single calibration for each of cameras, and i have next problem. The left one: The right one: PS: I'm doing Depth-map and by the metter of it, i received bad map. UPDATE: I have ported the C++ version from https://github.com/jayrambhia/Vision/blob/master/OpenCV/C%2B%2B/stereocalibrate.cpp Yeah, it has no error but it return only fully black images Ported cod:

问题 I am new in OpenCV, and could not find normal tutorial for stereoCalibration on Python. If you have some samples, please share. I do single calibration for each of cameras, and i have next problem. The left one: The right one: PS: I'm doing Depth-map and by the metter of it, i received bad map. UPDATE: I have ported the C++ version from https://github.com/jayrambhia/Vision/blob/master/OpenCV/C%2B%2B/stereocalibrate.cpp Yeah, it has no error but it return only fully black images Ported cod:

问题 I am new in OpenCV, and could not find normal tutorial for stereoCalibration on Python. If you have some samples, please share. I do single calibration for each of cameras, and i have next problem. The left one: The right one: PS: I'm doing Depth-map and by the metter of it, i received bad map. UPDATE: I have ported the C++ version from https://github.com/jayrambhia/Vision/blob/master/OpenCV/C%2B%2B/stereocalibrate.cpp Yeah, it has no error but it return only fully black images Ported cod:

问题 I've put together a stereo cam rig and am having trouble using it to produce a good disparity map. Here's an example of two rectified images and the disparity map I produced with them: As you can see, the results are pretty bad. Changing the StereoBM's settings doesn't change much. The setup Both cameras are the same model and connect to my computer with USB. They are fixed to a rigid wooden board so that they don't move. I aligned them as best I could, but of course it's not perfect. They

问题 I'm working on depth reconstruction from disparity map. I use OpenCV to calibrate my stereo camera, then undistort and rectify the images. I use LibELAS to compute the disparity map. My question is: According to OpenCV document (https://docs.opencv.org/3.1.0/dd/d53/tutorial_py_depthmap.html), the depth is computed by depth = Baseline*focal_length/disparity . But according to middlebury dataset (http://vision.middlebury.edu/stereo/data/scenes2014/), the depth is computed by depth = baseline *

来源： https://stackoverflow.com/questions/20468944/opencv-computing-fundamental-matrix-from-r-and-t

问题 Could someone here explain what exactly is the baseline of a camera? 回答1: You're apparently dealing with stereo, where the baseline is (at least normally) the distance between the two lenses. 回答2: I believe Z (depth) = (focalLength * baseline) / disparity Other coordinates can be found here: http://www.ptgrey.com/support/kb/index.asp?a=4&q=63&ST= 回答3: The baseline (distance between both cameras) will influence the depth range that you can observe with a stereo camera, and also your depth

问题 Could someone here explain what exactly is the baseline of a camera? 回答1: You're apparently dealing with stereo, where the baseline is (at least normally) the distance between the two lenses. 回答2: I believe Z (depth) = (focalLength * baseline) / disparity Other coordinates can be found here: http://www.ptgrey.com/support/kb/index.asp?a=4&q=63&ST= 回答3: The baseline (distance between both cameras) will influence the depth range that you can observe with a stereo camera, and also your depth

问题 I get an image point in the left camera ( pointL ) and the corresponding image point in the right camera ( pointR ) of my stereo camera using feature matching. The two cameras are parallel and are at the same "hight". There is only a x-translation between them. I also know the projection matrices for each camera ( projL, projR ), which I got during calibration using initUndistortRectifyMap . For triangulating the point, I call: triangulatePoints(projL, projR, pointL, pointR, pos3D)

问题 I wrote a code to find disparity map from two images "left" and "right"; and saving the map in "stereo". The code seems okay to me but somehow I'm getting exception: On the terminal window: OpenCV Error: Bad argument (Unknown array type) in unknown function, file ......\src\opencv\modules\core\src\matrix.cpp, line 698 The code is Mat left = imread( "files\\left.jpg" ); Mat right = imread( "files\\right.jpg" ); Size size = left.size(); namedWindow( "left", CV_WINDOW_AUTOSIZE ); imshow("left",