Ael's profile - activity

Calibration between thermal and visible camera I am trying to find the relationship between a thermal and visible camera

i tried using several sets of images ranging from 5, 6, 10, 15 and 20

Calibration between thermal and visible camera I am trying to find the relationship between a thermal and visible camera

I am in fact using the stitching_detailed example. The scene is planar (a wall) so I assumed it would still work out as it uses homography which holds for such a scene. It is in fact functioning properly for a considerable number of image pairs however there are some others for which it is not working. I am realising that this happens when the matching confidence is very low, thus assuming it is actually a problem with the features and their matching. Some images do in fact seem to very undistinctive features when viewed visually....

I am currently using OpenCV stitcher class to stitch two images acquired by a camera translated parallel to a wall. The distance between the wall and the camera is around 75 cm with a limited field of view (around 70 degrees). I am using the Stitch() function to stitch such images and it works well for most of the cases. The camera is moved manually thus there may be also some rotations in the process. I know that these are taken into consideration by OpenCV in bundle Adjustment but what about the Translation ? Is the stitching working because the scene is planar therefore no parallax is involved? Has anyone worked with OpenCV Stitcher to stitch images from a translating camera ?

I have a camera on a moving platform. Images are taken as the camera moves along its optical axis. Thus I have the scenario with two images taken at different times from the same platform going on the same motion trajectory, ie. Image taken at position A along the optical axis and image taken at position A+t along the optical axis, ie the relative camera pose is R = I T = [0,0,t]. Can I reproject image 1 to image 2 by epipolar geometry such that I can then apply frame difference to find any changes occurring ? Camera Intrinsic cameras can be available too if needed.

Hi, I'm currently working on using epipolar geometry to find the the relationship between two images taken by the same camera which has moved mainly forward with very slight translation in the horizontal direction. I was wondering if you know opencv can cater for this now, as it was written in the Opencv O'Reilly book in Chapter 12 - OpenCV does not (yet) deal with the case of rectifying stereo images when the epipole is within the image frame

Hi, I'm currently working on using epipolar geometry to find the the relationship between two images taken by the same camera which has moved mainly forward with very slight translation in the horizontal direction(same as this scenario). I was wondering if you know opencv can cater for this now, as it was written in the Opencv O'Reilly book in Chapter 12 - OpenCV does not (yet) deal with the case of rectifying stereo images when the epipole is within the image frame