Simple image stitching algorithm using SIFT, homography, KNN and Ransac in Python.
For full details and explanations, you're welcome to read image_stitching.pdf.
The project is to implement a featured based automatic image stitching algorithm. When we input two images with overlapped fields, we expect to obtain a wide seamless panorama.
We use scale invariant features transform(SIFT) to extract local features of the input images, K nearest neighbors algorithms to match these features and Random sample consensus(Ransac) to calculate the homograph matrix, which will be used for image warping. Finally we apply a weighted matrix as a mask for image blending.
- Python 2 or 3
- OpenCV 3
python Image_Stitching [/PATH/img1] [/PATH/img2]
Room:
Another building: This is a stitching of three related images. It doesn't work so well. Trying to improve.
