I have implemented the Panoramic image stitching using invariant features from scratch. Implemented the David Lowe paper on "Image stitching using Invariant features".

NOTE: You can experiment with any images (your own choice). I have experimented with many images. You can check result below. You can find many images in "Image_Data" folder.

CREATE DATA:

• You can create multiple images like S1.jpg, S2.jpg, S3.jpg, S4.jpg and S5.jpg (shown below) .Make sure there will be some overlapping parts between two consecutive created images in a sequence. then only algorithm will find and match features and create panorama image of all images which you have provided.
• OR you can directly feed multiple images from camera in a sequence with some overlapping parts between two consecutive images.

Please install Libraries:

1. Numpy
2. opencv-contrib-python

TO RUN CODE:

1. Put images in a folder .

2. Enter the image name in order of left to right in way of concantenation. Like: Enter the 1 image: S1.jpeg Enter the 2 image: S2.jpeg

3. Run stitch.py code.

python stitch.py --image <image folder path> --output <output folder path>

4. Then, you will get your panorama image as stitch.jpeg in your image dataset folder.

• Used SIFT to detect feature and then RANSAC, compute Homography and matched points and warp prespective to get final panoramic image.

RESULTS:

Result of S1.jpeg, S2.jpeg, S3.jpeg, S4.jpeg and S5.jpeg