homography

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am trying to find the transformation matrix H so that i can multiply the (x,y) pixel coordinates and get the (x,y) real world coordinates. Here is my code: import cv2 import numpy as np from numpy.linalg import inv if __name__ == '__main__' : D=[159.1,34.2] I=[497.3,37.5] G=[639.3,479.7] A=[0,478.2] # Read source image. im_src = cv2.imread('/home/vivek/june_14.png') # Four corners of the book in source image pts_src = np.array([D,I,G,A]) # Read destination image. im_dst = cv2.imread('/home/vivek/june_14.png') # Four corners of the book in

内容源于： Homography Examples using OpenCV ( Python / C ++ ) What is Homography ? Homography Figure 1 : Two images of a 3D plane ( top of the book ) are related by a Homography Now since a homography is a 3×3 matrix we can write it as Image Alignment Using Homography The above equation is true for ALL sets of corresponding points as long as they lie on the same plane in the real world. In other words you can apply the homography to the first image and the book in the first image will get aligned with the book in the second image! See Figure 2. Figure 2 : One image of a 3D plane can be aligned with

I need to perform a 3D rotation of a 2D image on x and y axis. I read that i have to use the Homographic matrix on OpenCV , but i don't know how to set the matrix to perform a common rotation angle. For example 30 degree on x axis or 45° on y axis. I read this post : Translating and Rotating an Image in 3D using OpenCV . I have tried different values of the f but it doesn't work. I want to know which parameters of the matrix i have to change and how (formula). Thank you! Radford Parker Follow that same post , but replace your rotation matrix. Familiarize yourself with the Rorigues() function .

I'm testing Apple's Vision Alignment API and have questions regarding VNHomographicImageRegistrationRequest. Has anyone got it to work? I can get the warpTransform out of it, but I've yet to see a matrix that makes sense, meaning, I'm unable to get a result that warps the image back onto the source image. I'm using Opencv warpPerspective to handle the warping. I'm calling this to get the transform: class func homography(_ cgImage0 : CGImage!, _ cgImage1 : CGImage!, _ orientation : CGImagePropertyOrientation, completion:(matrix_float3x3?)-> ()) { let registrationSequenceReqHandler =

I'm trying to find the rotation and translation from Homography function. First I compute the corresponding feature points and using findHomography() I computed the Homography Matrix. Then, using decomposeHomographyMat() , I got four rotation and translations results. The code I used is below: Mat frame_1, frame_2; frame_1 = imread("img1.jpg", IMREAD_GRAYSCALE); frame_2 = imread("img2.jpg", IMREAD_GRAYSCALE); vector<KeyPoint> keypts_1, keypts_2; Mat desc1, desc2; Ptr<Feature2D> ORB = ORB::create(100 ); ORB->detectAndCompute(frame_1, noArray(), keypts_1, desc1); ORB->detectAndCompute(frame_2,

I have a homgraphy matrix [h1 h2 h3 h4 h5 h6 h7 h8 h9] I have transformed a point p1 to P1 using above homography matrix. Similarly p2 to P2 p3 to P3 p4 to P4 I know the diffence between P1-P2 = D1 P2-P3 = D2 P3-P4 = D3 Due to error in homography There is small error in D1, D2, D3. (I know the actual difference value) Let the error be E1, E2, E3 (known values). (E1 = D1 - Actual_Difference_between_P1_andP2) Similarly E2, E3, and E4 are calculated. Now I need to modify my homography matrix, such that my E1, E2, E3, E4 are minimized. Introduction: Homography can be obtained from 4 pair of points