flann | Fast Library for Approximate Nearest Neighbors | Machine Learning library

I am using canny for image comparison. I am getting correct results for matching and non matching objects after comparing using canny image edging. At times it is not giving the right result and for that I need to keep changing the MIN_MATCH_COUNT. Any solution to keep the MIN_MATCH_COUNT and canny should compare each and every edge of the image.

I try to build the OpenCV 4.5.1 SDK for Android because I need the SDK with contrib modules and the official release [1] only has the standard modules. But the libraries I build are almost 10x larger, for example: libopencv_core.a ==> 47.6 MB self compiled, 5.3 MB from the official repository (both for arm64-v8a)

Here is my cmake command, followed by ninja for compilation.

Currently, I'm working on image stitching of aerial footage. I'm using the dataset, get from OrchardDataset. First of all, thanks to some great answers on stackoverflow, especially the answer from @alkasm (Here and Here). But I having an issue, as you can see below at Gap within the stitched image section.

I used the H21, H31, H41, etc to wrap the images. The stitched image using H21 is excellent, but when wrap the img3 to current stitched image using H31, result shown terrible alignment between img3 and current stitched image. As the more images I wrap, the gap gets bigger and the images totally not well aligned.

Does the brillant stackoverflow community have an ideas on how can I solve this problem?

These are the steps I use to stitch the images:

1. Extract the frame every second from the footage and undistort the image to get rid of fish-eye effect using the provided camera calibration matrix.
2. Compute the SIFT feature descriptors. Set up macther using FLANN kd-tree and find matches between the images. Find the Homography (H21, H32, H43 and etc, where H21 refer to the homography which warps imag2 into coordinates of img1)
3. Compose the homography with the previous homographies to get net homography using the method suggested in Here. (Compute H31, H41, H51, etc)
4. Wrap the images using the answer provided in Here.

Gap within the stitched image:

I'm using the first 10 images get from OrchardDataSet.

Stitched Image with Gaps

Here's portion of my script:

main.py

ref_img is the first frame (img1). AdjHomoSet contain the images to be wraped (img2, img3, img4, etc). AccHomoSet contain the net homography (H31, H41, H51, etc)

I am trying to get orb_slam2_ros to compile and it needed an OpenCV version higher than 2.3. I have 4.2.0 but it doesn't work but according to ROS, it has been tested to work on 2.4.11. Here is what I did:

• Download the source zip file.
• Extract it.
• Go into the directory and create a build folder.
• Go into the build folder and run cmake ... There is gives me this:

I am trying to compile OpenCV for Android with contrib modules, mainly I am interested in sfm. I did a lot of research and finaly I did the following in order to support sfm:

Compiled gflags Compiled Glog Compiled Ceres

After that I used this cmake command to build and generate (partial output is given below):

I have a image comparison script.

How can I print the image name every time it loops?

Also, can I print both images measurements?

And the most important part: how can I export all the printed stuff into excel, and in the first column I need to show the image name?

Thanks

I checked out opencv source and was able to build for x86_64 on linux but failed to cross-compile for Aarch on Linux.

For Linux I used the following command and it worked just fine:

I am using OpenCV to compare 2 images.

After a couple of days, I was able to modify it to compare a image to a list of images.

How can I compare a list of images with another list?

Ex: we have 2 folders Images1 and Images2. Images1 = te1.jpg, te2.jpg, te3.jpg; Images2 = te1.jpg, te2.jpg, te3.jpg.

I want to compare te1.jpg from Images1 with te1.jpg from Images2, te2.jpg from Images1 with te2.jpg from Images2 and te3.jpg from Images1 with te3.jpg from Images2.

Can I add both folders and make it loop thru them in order to get the correspondent image in Images2 for every image in Images1?

I have homographies built between pairs of images. How do I create an adjacency matrix to describe which images overlap with each other?

Here my code. I call function 'match' to get homography between two images