stereo-3d

问题 I want to distort and rectified my stereo images. For which I used Opencv 3.3 in Python 2.7. Code I used is : import cv2 import numpy as np cameraMatrixL = np.load('mtx_left.npy') distCoeffsL = np.load('dist_left.npy') cameraMatrixR = np.load('mtx_right.npy') distCoeffsR = np.load('dist_right.npy') R = np.load('R.npy') T = np.load('T.npy') imgleft = cv2.imread('D:\python\camera calibration and 3d const\left\left60.png',0) imgright = cv2.imread('D:\python\camera calibration and 3d const\Right

问题 I am developing an application for treatment of children. It must show different images for left and right eyes. I decided to use cheap red-cyan glasses for separating the fields of view of the eyes. The first eye will see only red images the second one - only cyan. The problem is that colors on monitor are not really red and cyan. Also glasses are not ideal. I need to implement the calibration procedure for searching the best red and cyan colors for current monitor and glasses. I mean I need

问题 Is there a simple function in OpenCV to get the 3D position and pose of an object from a stereo camera pair? I have the cameras and baseline calibrated with the chess board. I now want to take a known object like the same chessboard, with known 3D points in it's own coordinates and find the real world position (in the camera coordinates). There are functions to do this for a single camera (POSIT) and functions to find the 3D disparity image for the entire scene. It must be simple to do almost

问题 In this example: https://glitch.com/~query-aframe-cameras I have registered a component which launches a projectile in the direction the user is looking (with a little boost for elevation) Spacebar or Screen Tap to launch - be sure to be looking above the horizon! It fails in mobile vr (stereo camera) mode: Projectiles continue to fire, but from the default orientation of the mono, not the stereo camera I'm using: var cam = document.querySelector('a-scene').camera.el.object3D; var camVec =

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 4 years ago . I'm trying to make an application that uses stereo vision with 20fps with javacv/opencv. I've seen some camera sterio vision, but all are expensive. I heard already talking about the Minoru 3D? Anyone know if it works with javacv? Does anyone have any idea what kind of is camera used for products like this? 回答1:

问题 I am trying to perform a 3D surface reconstruction from a stereo configuration with OpenCV example files. I have created a stereo camera from 2 web cams. I have obtained the calibration parameters using stereo_calib.cpp ( https://code.ros.org/trac/opencv/browser/trunk/opencv/samples/cpp/stereo_calib.cpp?rev=4086 ) and generated a point cloud with stereo_match.cpp ( https://code.ros.org/trac/opencv/browser/trunk/opencv/samples/c/stereo_match.cpp?rev=2614 ). The resulting point cloud, opened

问题 I'm working on a stereoscopy application in C++ and OpenGL (for medical image visualization). From what I understand, the technology was quite big news about 10 years ago but it seems to have died down since. Now, many companies seem to be investing in the technology... Including nVidia it would seem. Stereoscopy is also known as "3D Stereo", primarily by nVidia (I think). Does anyone see stereoscopy as a major technology in terms of how we visualize things? I'm talking in both a recreational

问题 Processing was designed to make drawing with Java much easier. Processing for Android has the power of its desktop sibling plus information from sensors. Putting these things together, shouldn't it be easy to display a stereoscopic image and move around it like Oculus Rift or Google Cardboard? 回答1: The code below displays an image in two viewports - one for the left eye and one for the right eye. The result is that the image looks 3D when viewed from a Google Cardboard device. Accelerometer

问题 I currently have a stereo camera setup. I have calibrated both cameras and have the intrinsic matrix for both cameras K1 and K2 . K1 = [2297.311, 0, 319.498; 0, 2297.313, 239.499; 0, 0, 1]; K2 = [2297.304, 0, 319.508; 0, 2297.301, 239.514; 0, 0, 1]; I have also determined the Fundamental matrix F between the two cameras using findFundamentalMat() from OpenCV. I have tested the Epipolar constraint using a pair of corresponding points x1 and x2 (in pixel coordinates) and it is very close to 0 .

问题 I have an OpenGL application that outputs stereoscopic 3D video to off-the-shelf TVs via HDMI, but it currently requires the display to support the pre-1.4a methods of manually choosing the right format (side-by-side, top-bottom etc). However, now I have a device that I need to support that ONLY supports HDMI 1.4a 3D signals, which as I understand it is some kind of packet sent to the display that tells it what format the 3D video is in. I'm using an NVIDIA Quadro 4000 and I would like to