January 2018
Intermediate to advanced
268 pages
6h 20m
English
Content preview from OpenCV 3.x with Python By Example - Second Edition
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What happened inside the code?
The first thing we need to do is extract the centroids. This is how we are going to build our visual dictionary. The get_centroids method in the FeatureExtractor class is designed to do this. We keep collecting the image features extracted from keypoints until we have a sufficient number of them. Since we are using a dense detector, 10 images should be sufficient. The reason we are just taking 10 images is because they will give rise to a large number of features. The centroids will not change much even if you add more feature points.
Once we've extracted the centroids, we are ready to move on to the next step of feature extraction. The set of centroids is our visual dictionary. The function, extract_feature_map ...
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