On this project my goal is to build a Computer Vision System that stitch two camera views to generate
a panorama.

The algorithm can be described as follows:

• Step 0: Read all the images from the images folder sorting by name

• For every two images:

o Step 1: Resize images for faster processing

o Step 2: Detect keypoints and extract local invariant descriptors from the two images

o Step 3: Match the descriptors between the two images

o Step 4: Use RANSAC algorithm to estimate a Homography Matrix using our matched feature vectors

o Step 5: Apply warping transformation using the Homography Matrix obtained from Step 4

o Step 6: Visualize keypoint correspondences between two images

o Step 7: Plot the images in only one window

o Step 8: Remove/Reduce black edges from the Panorama if exists

Sample 1: the panorama is not perfect so we need to apply step 8 to crop the image

Sample 2: the panorama is perfect so we dont need to apply step 8

RUN: type python stitch.py in the command line