camera-matrix

stereo vision 3d point calculation with known intrinsic and extrinsic matrix

房东的猫 提交于 2019-12-21 21:06:05
问题 I have successfully calculated Rotation, Translation with the intrinsic camera matrix of two cameras. I also got rectified images from the left and right cameras. Now, I wonder how I calculate the 3D coordinate of a point, just one point in an image. Here, please see the green points. I have a look at the equation, but it requires baseline which I don't know how to calculate. Could you show me the process of calculating the 3d coordinate of the green point with the given information (R, T,

2D-3D homography matrix estimation

≡放荡痞女 提交于 2019-12-06 00:52:42
问题 I am working with my Kinect on some 2D 3D image processing. Here is my problem: I have points in 3D (x,y,z) which lie on a plane. I also know the coordinates of the points on the RGB image (x,y). Now I want to estimate a 2D-3D homography matrix to estimate the (x1,y1,z1) coordinates to a random (x1,y1) point. I think that is possible, but I don't know where to start. Thanks! 回答1: What you're looking for is a camera projection matrix, not a homography. A homography maps a plane seen from a

stereo vision 3d point calculation with known intrinsic and extrinsic matrix

烈酒焚心 提交于 2019-12-04 15:46:43
I have successfully calculated Rotation, Translation with the intrinsic camera matrix of two cameras. I also got rectified images from the left and right cameras. Now, I wonder how I calculate the 3D coordinate of a point, just one point in an image. Here, please see the green points. I have a look at the equation, but it requires baseline which I don't know how to calculate. Could you show me the process of calculating the 3d coordinate of the green point with the given information (R, T, and intrinsic matrix)? FYI 1. I also have a Fundamental matrix and Essential matrix, just in case we need

2D-3D homography matrix estimation

折月煮酒 提交于 2019-12-04 05:59:30
I am working with my Kinect on some 2D 3D image processing. Here is my problem: I have points in 3D (x,y,z) which lie on a plane. I also know the coordinates of the points on the RGB image (x,y). Now I want to estimate a 2D-3D homography matrix to estimate the (x1,y1,z1) coordinates to a random (x1,y1) point. I think that is possible, but I don't know where to start. Thanks! What you're looking for is a camera projection matrix , not a homography . A homography maps a plane seen from a camera to the same plane seen from another. For estimating the camera matrix, look up solutions to solving

Python calibrate camera

狂风中的少年 提交于 2019-11-30 19:20:17
问题 I have the following image I1. I did not capture it. I downloaded it from Google I apply a known homography H to I1 to obtain the following image I2. I want to assume that a camera has taken this above shot of I2. I do not know the camera matrix of this camera and I want to find it. To find this camera matrix mtx , I am using the OpenCV camera calibration method: ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(objpoints, imgpoints, gray.shape[::-1], None, None,flags=cv2.CALIB_FIX_ASPECT