homography

OpenCV : wrapPerspective on whole image

自古美人都是妖i 提交于 2021-02-07 07:18:03
问题 I'm detecting markers on images captured by my iPad. Because of that I want to calculate translations and rotations between them, I want to change change perspective on images these image, so it would look like I'm capturing them directly above markers. Right now I'm using points2D.push_back(cv::Point2f(0, 0)); points2D.push_back(cv::Point2f(50, 0)); points2D.push_back(cv::Point2f(50, 50)); points2D.push_back(cv::Point2f(0, 50)); Mat perspectiveMat = cv::getPerspectiveTransform(points2D,

OpenCV : wrapPerspective on whole image

六月ゝ 毕业季﹏ 提交于 2021-02-07 07:14:35
问题 I'm detecting markers on images captured by my iPad. Because of that I want to calculate translations and rotations between them, I want to change change perspective on images these image, so it would look like I'm capturing them directly above markers. Right now I'm using points2D.push_back(cv::Point2f(0, 0)); points2D.push_back(cv::Point2f(50, 0)); points2D.push_back(cv::Point2f(50, 50)); points2D.push_back(cv::Point2f(0, 50)); Mat perspectiveMat = cv::getPerspectiveTransform(points2D,

OpenCV : wrapPerspective on whole image

妖精的绣舞 提交于 2021-02-07 07:12:02
问题 I'm detecting markers on images captured by my iPad. Because of that I want to calculate translations and rotations between them, I want to change change perspective on images these image, so it would look like I'm capturing them directly above markers. Right now I'm using points2D.push_back(cv::Point2f(0, 0)); points2D.push_back(cv::Point2f(50, 0)); points2D.push_back(cv::Point2f(50, 50)); points2D.push_back(cv::Point2f(0, 50)); Mat perspectiveMat = cv::getPerspectiveTransform(points2D,

How to use `cv2.perspectiveTransform` to apply homography on a set of points in Python OpenCV?

我的梦境 提交于 2021-01-27 20:23:41
问题 I want to apply homography to the following points: array([[-7.4894, 1.8873], [-7.4973, 1.8543], [-7.5375, 1.6725], [-7.5681, 1.522 ], [-7.5961, 1.371 ], [-7.6252, 1.2013], [-7.6504, 1.031 ], [-7.667 , 0.8985], [-7.6817, 0.7657], [-7.6954, 0.613 ], [-7.7054, 0.4786], [-7.7124, 0.3452], [-7.7182, 0.1931], [-7.7215, 0.0866], [-7.7716, 0.0872], [-7.7715, 0.0929], [-7.7651, 0.2884], [-7.7587, 0.4269], [-7.7528, 0.5233], [-7.7418, 0.6616], [-7.7275, 0.8116], [-7.7048, 1.0032], [-7.6916, 1.0988], [

Getting the 5 points used by RANSAC in findHomography (OpenCV for Android)

前提是你 提交于 2020-02-28 08:43:51
问题 In OpenCV for Android, the function org.opencv.Calib3d.findHomography(..) returns the homogeneous transformation matrix. For example, this only returns the homography: Mat homography = Calib3d.findHomography(points1, points2, Calib3d.RANSAC, 0.5); Is there a way to return the points that RANSAC actually uses from the Android OpenCV API? 回答1: Update I am not sure whether it's a new addition to OpenCV or I've just missed it, but the findHomography() function actually can give you the inliers

OpenCV cv::findHomography runtime error

扶醉桌前 提交于 2020-02-17 15:50:06
问题 I am using to compile and run code from Features2D + Homography to find a known object tutorial, and I am getting this OpenCV Error: Assertion failed (npoints >= 0 && points2.checkVector(2) == npoint s && points1.type() == points2.type()) in unknown function, file c:\Users\vp\wor k\ocv\opencv\modules\calib3d\src\fundam.cpp, line 1062 run-time error. after debugging I find that the program is crashing at findHomography function. Unhandled exception at 0x760ab727 in OpenCVTemplateMatch.exe:

Calculating homography of multiple markers on a single plane

萝らか妹 提交于 2020-02-02 13:30:33
问题 I've got an algorithm that calculates the homography of a number of markers in a single image, using OpenCV's findHomography . This works fine, but due to the size of the markers/resolution of the images, the rotation calculated is often quite inaccurate (mainly around the x and z axes of the marker, assuming y is up). I'd love to find a way to improve this. I have a hypothesis that the fact that I know all the markers are on the same plane (they're on a table) should help improve the

Calculating homography of multiple markers on a single plane

ⅰ亾dé卋堺 提交于 2020-02-02 13:29:07
问题 I've got an algorithm that calculates the homography of a number of markers in a single image, using OpenCV's findHomography . This works fine, but due to the size of the markers/resolution of the images, the rotation calculated is often quite inaccurate (mainly around the x and z axes of the marker, assuming y is up). I'd love to find a way to improve this. I have a hypothesis that the fact that I know all the markers are on the same plane (they're on a table) should help improve the

OpenCV - Projection, homography matrix and bird's eye view

二次信任 提交于 2020-01-25 11:13:06
问题 I'd like to get homography matrix to Bird's eye view and I know the projection Matrix of the camera. Is there any relation between them? Thanks. 回答1: A projection matrix is defined as a product of camera's intrinsic (e.g. focal length, principal points, etc.) and extrinsic (rotation and translation) matrices. The question is w.r.t what your rotation and translation are? For example, I can imagine another camera or an object in 3D with respect to which you have these rotations and translations

OpenCV - Projection, homography matrix and bird's eye view

China☆狼群 提交于 2020-01-25 11:12:30
问题 I'd like to get homography matrix to Bird's eye view and I know the projection Matrix of the camera. Is there any relation between them? Thanks. 回答1: A projection matrix is defined as a product of camera's intrinsic (e.g. focal length, principal points, etc.) and extrinsic (rotation and translation) matrices. The question is w.r.t what your rotation and translation are? For example, I can imagine another camera or an object in 3D with respect to which you have these rotations and translations