suva007 / panorama-stitching

Stitches two or more images to form image panorama.

panorama-stitching

• 📚 Link to notebook

Prerequisite

• Sift and surf cannot be used with new versions of open-cv that is why using orb local invariant descriptor.
• Orb is based on = FAST keypoint detector and the BRIEF descriptor
• 
• (lighter than p, darker than p or similar to p).
• If more than 8 pixels are darker or brighter than p than it is selected as a keypoint.
• In brief, each keypoint is described by a feature vector which is 128–512 bits string.
• 
• BRIEF is not rotation invariant , so ORB uses rotation aware brief.

Implementation

• STEP 1 : READ IMAGES AND TRANSFROM THEM TO GRAYSCALE.

• STEP 2 : Function to Detect & Describe the Feature Descriptors.

• STEP 3 : Displaying Keypoints Extracted from the function call of previous step.

• STEP 4 : Create and return a Matcher Object

• STEP 5 : RAW Matches

• STEP 6 : Homography Matrix computation

• STEP 7 : Panaroma Correction

• STEP 8 : Transform the panorama image to grayscale and threshold it

😉 Thanks