Alemao's profile - activity

How can i convert the images into a "feature image" ? Sorry, i dont know what is a feature image..

Thanks for the answers!! I will take a look about Multi Scale Optical! If someone wanna see the images,here is a link to download: https://we.tl/k0A1JXdxji

In fact it is a NIR, near-infrared..

I have two aerial photos, a RGB and a InfraRed, this photos are without lens distortion, and are the same size and with the same field of view (99%). I need to make a 4 band image, so i detect some features using ORB, find a homography and use warpperspective to align the photos, but its not good enough, i found some offsets. The photos are big, the size is 11608 x 8708, so when i use SIFT or SURF, my desktop freeze or i have problems with memory. I tried to use FlannMatcher, use BFMatcher, use a mask with photos and used SIFT/SURF, and still not good enough. I know that with this images i can take a perfectly 4 band images because i used another app and it was great, but i need to know how to do this with Opencv. What i can do ?

i already used a mask without sucess... The another company sent to me a 4 band image without any disparity!! 100% ok! the field of view its the same (99,5 %) and i already resized the IR to RGB size or vice-versa.

The real problem is this: I have two cameras on a plane, side by side, one RGB with 80Mp and another InfraRed with 60Mp. The photos are taked at the same time. I need to generate a 4 band image, but the IR have don´t fit perfectly with the RGB photo. The two cameras are calibrated. What i´m doing, i remove the lens distortion from the photos, so i use ORB to detect some points, find a homography and use warpperspective to fit the IR on RGB. But i still finded small offsets. In the center of photos it´s 100% fitted. I can´t use SIFT or SURF because the photos are too big and i have problems with memory. I believe that the problem is in the undistortion process. I converted the k coefficients to pixel, dividing by pixelsize without sucess..

Sorry for my english.

Sorry ... it's an aerial photo taken by a PhaseOne camera, IXA180. The camera was calibrated by another company that sent me the parameters. They also sent me a photo without the distortion and I'm trying to do the same with OpenCV but I do not have the same result. I'm sure the photo sent by them is correct, but they will not tell me how they did it.

Yes, thats it...

You can limit the Keypoints if you use ORB detector.

I already checked other questions here in the forum about this but I did not find a good answer. I have to remove the lens distortion of a picture, my distortion coefficients are in k1mm-2, k2mm-4, and k3mm-6. But I do not get satisfactory results, I'm sure my data is correct, my question is whether I use my parameters the way they are (mm-2, mm-4, mm-6) or I have to do some transformation before?

Focal, cx and cy are correct are Ok.

Thanks

i have two photos taken by a car like google street view car, this photos has 80% overlap, i have the photo coordinates in UTM system, omega phi kappa, calibration values like p1,p2,k1,k2, sensor size, focal,etc. Is possible to visualize this photos in a 3d split view and take measures from this photos ? sorry for my english, but how can i do that?! rectifying my question, i want that user see the left and the right photo, adjusted, and click two points on the photo to get measure.

I have 2 cameras , an RGB and IR, side by side. The photos are taken at the same time , but each has its lens distortion and different size frame. I can correct the distortions, but how do I adjust or rectify the IR band on the RGB . I need to merge the bands.

Sorry for my English!!