disparity-mapping

What is meant by Disparity Space Images

由 纵然是瞬间 提交于 2019-12-08 06:17:36
问题 Can someone explain to me what Disparity Space Image is? How can it be constructed? 回答1: First, I don't think the disparity image and disparity space image (DSI) are the same. Actually DSI is kind of matrix store the matching score of each pixels in two scanlines. More about to http://www.cse.psu.edu/~rtc12/CSE486/lecture09.pdf. 来源： https://stackoverflow.com/questions/33067476/what-is-meant-by-disparity-space-images

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

由 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

How can I measure distances in stereo images?

由 杀马特。学长 韩版系。学妹 提交于 2019-12-04 14:49:15
问题 I Have two images( left and right ) I want to measure the real distance on image? When I click on the image, ı ll get real distance to clicked point to camera. Left Image: Right Image: I have calibrated the two images. I want to use EmguCV to get distance from image. Is this possible ? 回答1: While I do not know the specifics of EmguCV, I can tell you the concept behind how stereo depth perception works, and hopefully you can then implement some sort of fix. Essentially, the first step is to

Stereo vision: Depth estimation

由 和自甴很熟 提交于 2019-12-03 09:55:56
问题 I am working on Stereo vision task and I would like to get the distance between stereo vision cameras and the object. I am using Matlab with Computer Vision System Toolbox. I have calibrated cameras with using "Camera Calibration Toolbox for Matlab" thus I have Intrinsic parameters of left and right camera and Extrinsic parameters (position of right camera wrt left camera). I have also a pair of rectified pictures and thier disparity map. For estimation of disparity I have used Matlab

Opencv - Depth map from uncalibrated stereo system

由 懵懂的女人 提交于 2019-12-03 04:43:25
问题 I'm trying to get a depth map from an uncalibrated method. I can obtain the fundamental matrix via different correspondent points from SIFT method and cv2.findFundamentalMat . Then with cv2.stereoRectifyUncalibrated I can get the rectification matrix. Finally I can use cv2.warpPerspective to rectify and compute the disparity but this latter doesn't conduct to a good depth map. The values are very high so I'm wondering if I have to use warpPerspective or I have to calculate rotation matrix

Opencv - Depth map from uncalibrated stereo system

由 蹲街弑〆低调 提交于 2019-12-02 17:59:20
I'm trying to get a depth map from an uncalibrated method. I can obtain the fundamental matrix via different correspondent points from SIFT method and cv2.findFundamentalMat . Then with cv2.stereoRectifyUncalibrated I can get the rectification matrix. Finally I can use cv2.warpPerspective to rectify and compute the disparity but this latter doesn't conduct to a good depth map. The values are very high so I'm wondering if I have to use warpPerspective or I have to calculate rotation matrix from homography matrix got with stereoRectifyUncalibrated . So I'm not sure of the projective matrix with

Difference between Disparity map and Disparity Image in Stereo Matching

由 本小妞迷上赌 提交于 2019-11-30 06:13:20
问题 I am new to Stereo Matching. I couldn't understand the concept of Disparity. Please tell me what is disparity map and disparity image and also What is the difference between them? Are both the terms same or different? 回答1: Disparity Disparity refers to the distance between two corresponding points in the left and right image of a stereo pair. If you look at the image below you see a labelled point X (ignore X1, X2 & X3). By following the dotted line from X to OL you see the intersection point

cvReprojectImageTo3D -3d modelling from 2d images issue-

由 时光毁灭记忆、已成空白 提交于 2019-11-30 01:39:14
i need your help about this issue badly. i am trying to model a simple scene in 3d out of 2d images. i am using 2 images (left and right-the famous tsukuba scene) http://www.cc.gatech.edu/classes/AY2003/cs7495_fall/ProblemSets/Data/tsukuba-right.bmp i get a disparity map. like this one. http://www.robots.ox.ac.uk/~ojw/2op/tsukuba_score.png after here i have some questions. i think the steps should be: cvStereoRectify ( to get Q) cvReprojectImageTo3D (disparity map, 3dimage , Q ) but i dont know what to pass as inputs in stereoRectify i only have 2 images,i dont have any info about cameras.

Definition of a Disparity Map

由 别来无恙 提交于 2019-11-29 19:33:21
I've been asked to implement an edge-based disparity map but I fundamentally don't understand what a disparity map is. Googling doesn't seem to produce a straight-forward answer. Could someone explain it or point to a better resource? peakxu Disparity map refers to the apparent pixel difference or motion between a pair of stereo images. To experience this, try closing one of your eyes and then rapidly close it while opening the other. Objects that are close to you will appear to jump a significant distance while objects further away will move very little. That motion is the disparity. In a

OpenCv depth estimation from Disparity map

由 点点圈 提交于 2019-11-29 10:36:39
问题 I'm trying to estimate depth from a stereo pair images with OpenCV. I have disparity map and depth estimation can be obtained as: (Baseline*focal) depth = ------------------ (disparity*SensorSize) I have used Block Matching technique to find the same points in the two rectificated images. OpenCV permits to set some block matching parameter, for example BMState->numberOfDisparities . After block matching process: cvFindStereoCorrespondenceBM( frame1r, frame2r, disp, BMState); cvConvertScale(
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