Dawei Jiang's profile - activity

Hi, all! I am trying to find the corresponding feature points between left and right images. I want to use zero-mean normalized cross correlation (ZNCC)to find the most possible matching. Dose opencv already have this algorithm or can you share your customized one? Or Could anyone share the better way to evaluate and find the most possible feature matching. Thanks a lot!

I know opencv has stereo matching method based on region,such as BM,HH,Var ect., dose anybody have any idea on easy way to do the stereo matching based on feature point? Especially, how to apply the epipolar line constraint? Thanks a lots!

Thank you, Steven. I am wondering whether I can run the GPU function on my laptop without GPU.

Thanks you, Mathieu. But I'd like use stereo feature matching for two reasons. One reason is it will reduce the computation greatly. Another is it will helpful for feature tracking between frames. So if you have any good idea, thanks for sharing.

Hi, All,

I am using good feature function to find feature points in left image. Currently, I am trying to matching the corresponding points in both left and right image, then get the 3D could. I know opencv has stereo matching method based on region,such as BM,HH,Var ect., dose anybody have any idea on easy way to do the stereo matching based on feature point? Especially, how to apply the epipolar line constraint? Thanks a lots!

It works, but how can I get the coordinates of key points relative to the original image mat instead of the ROI?

Hi,All,

Currently, I have built a GoodFeatureToTrackDetector class and I want to set a specific ROI instead finding feature through the whole image. Finally, draw the keyPionts locating in the ROI as the feedback. Dose anybody know easy way to achieve this? Thanks a lot!

Dawei Jiang

Your information really help me. Thank you very much! By the way, I have no ideal about the stereo camera calibration flag, CV_CALIB_ZERO_DISPARITY. Dose it mean translate and rotate the left camera to match the image plane of the left camera with the same principal point Cx and Cy?

Hi, all,

I have run the stereo calibration example and gotten both intrinsic and extrinsic parameters of my stereo camera. I set the squareSize= 108.f since my chess board using 108 millimeter 8X6 squares. But I no ideal what correct unit the square size should be. And finally I got the rotation and translation matrix.

R:[9.9971067186655571e-001, 1.0255094565610759e-002,-2.1757885732999915e-002,
   -1.0256469002886417e-002,9.9994739986591286e-001, 4.8425128267447104e-005,
    2.1757237869562643e-002, 1.7474796307336661e-004,9.9976326801070092e-001]

T: [ **-2.1943586431950470e+002**, 3.0918889737998665e+000,-3.3488303392429639e+000 ]

I measured and my basic line is around 213.05 mm. I think the first element of T, -2.1943586431950470e+002, represent the basic line length.Is it right? Could you guys share me reference showing the meanings of intrinsic and extrinsic parameters? Thanks!

I am trying to estimate my stereo camera's position and posture from successive frames. I want to match corresponding feature points in both left and right image and get real 3d information of matched feature points. Then track the point through frames to estimate camera movement. Anybody can shall me any relevant opencv functions or experience on this topic? Thanks!