disparity-mapping

Q matrix for the reprojectImageTo3D function in opencv

生来就可爱ヽ(ⅴ<●) 提交于 2019-11-28 20:53:52
I am doing a project in opencv to detect obstacle in the path of a blind person using stereo calibration. I have calculated the disparity map correctly. Now to find the distance of obstacle from the camera, I want its 3D coordinates [X,Y,Z] , which I am guessing can be found by reprojectImageTo3D(), but I dont have the Q matrix to use in this function because the Q matrix I am getting from stereoRectify() is coming null probably because I used pre calibrated images. Although I do have the inrinsic and extrinsic parameters of my camera. So my question is that how can I manually create the Q

Difference between Disparity map and Disparity Image in Stereo Matching

隐身守侯 提交于 2019-11-28 15:28:58
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? 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 with the left hand plane at XL. The same principal applies with the right-hand image plane. If X projects

What is the definition of a “disparity map”?

不羁岁月 提交于 2019-11-28 14:52:45
问题 I've been asked to implement an edge-based disparity map, but I fundamentally don't understand what a disparity map is. What is the definition of a "disparity map"? 回答1: 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