- 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.
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STEP 1 : READ IMAGES AND TRANSFROM THEM TO GRAYSCALE.
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STEP 2 : Function to Detect & Describe the Feature Descriptors.
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STEP 3 : Displaying Keypoints Extracted from the function call of previous step.
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STEP 4 : Create and return a Matcher Object
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STEP 5 : RAW Matches
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STEP 6 : Homography Matrix computation
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STEP 7 : Panaroma Correction
- STEP 8 : Transform the panorama image to grayscale and threshold it
