Images_Stitching

Stitches 2 images into a single bird-view image

The stitching algorithm requires four steps:

1. Detecting keypoints and extracting local invariant descriptors (SIRF)
2. Matching descriptors between images (k-NN with k=2 + David Lowe's ratio test)
3. Applying RANSAC to estimate the homography transform (3x3 matrix)
4. Applying a warping transformation using the homography matrix

References:

1. https://www.pyimagesearch.com/2016/01/11/opencv-panorama-stitching
2. https://www.pyimagesearch.com/2016/01/25/real-time-panorama-and-image-stitching-with-opencv
3. https://www.pyimagesearch.com/2014/05/05/building-pokedex-python-opencv-perspective-warping-step-5-6