panorama stitcher for four images python open cv

PANORAMA STITCHER FOR FOUR IMAGES PYTHON OPEN CV HOW TO
PANORAMA STITCHER FOR FOUR IMAGES PYTHON OPEN CV INSTALL
PANORAMA STITCHER FOR FOUR IMAGES PYTHON OPEN CV CODE

PANORAMA STITCHER FOR FOUR IMAGES PYTHON OPEN CV CODE

In this way, we will use the code to stitch 2 images together in a loop giving new images one by one to be stitched on the previously stitched images. We will treat the next image to be stitched as the Secondary Image and the panoramic image formed by stitching the previous images as the Base Image.

PANORAMA STITCHER FOR FOUR IMAGES PYTHON OPEN CV HOW TO

To learn more about it, go here.Knowing how to stitch 2 images together from part 1 of this project, we will use that method to stitch multiple images together. These “Matches” return lists in which each subgroup consists of “k” objects. If we set, for example, the parameter k = 2, we ask knnMatcher to return the two best matches for every descriptor. Both examples do an image matching and find features that are most similar in both photos.

I will write both examples to prove that we’ll get the same result. To match images can be used either FLANN or BFMatcher methods that OpenCV provides. All such information is yielded by establishing correspondences. And based on these common points, we get an idea of whether the second image is bigger or smaller or has it been rotated and then overlapped, or maybe scaled-down/up and then fitted. These overlapping points will give us an idea of the orientation of the second image according to the first one. Why do we do this? Well, to join any two images into a bigger picture, we must discover overlapping points. Once you have got the descriptors and key points of the two images, we will find correspondences between them. Next, we import libraries that we will use in our code:

PANORAMA STITCHER FOR FOUR IMAGES PYTHON OPEN CV INSTALL

If you work with a more recent version, you will be required to build an OpenCV library by yourself to enable the image stitching function, so it's much easier to install an older version: pip install opencv-contrib-python=3.4.2.16 If you have a newer version, first do pip uninstall opencv before installing an older version. And finally, we have one beautiful big and a large photograph of the scenic view.įirst, we’ll install OpenCV version 3.4.2.16. The entire process of acquiring multiple images and merging them into such panoramas is named image stitching. Such photos of ordered scenes of collections area units refer to as panoramas.

So, we can capture multiple images of the entire scene and then put all bits and pieces together into one big picture. If you want to capture a big scene and your camera can only provide an image of a specific resolution and that resolution is 640 by 480, it is certainly not enough to capture the big panoramic view. Let’s first understand the concept of image stitching. We essentially create a single stitched image from a group of these images that explains the entire scene in detail. In simple terms, for input, there should be a group of pictures, but at the same time, the logical flow between the images must be preserved.įor example, think about the sea horizon while you are taking a few photos of it. So what is image stitching? The output is a composite image such that it is a culmination of image scenes. Have you ever wondered how all these features work? So I thought about how difficult it can be to do a panorama merging on my own using the Python language. You probably already know that the Google Photos app has unique auto features like video creation, panoramic image stitching, image collage creation, image sorting, and more.

Panorama stitcher for four images python open cv