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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Scale-invariant feature transform (SIFT)
Even though corner features are interesting, they are not good enough to characterize the truly interesting parts. When we talk about image content analysis, we want the image signature to be invariant to things such as scale, rotation and illumination. Humans are very good at these things. Even if I show you an image of an apple upside down that's dimmed, you will still recognize it. If I show you a really enlarged version of that image, you will still recognize it. We want our image recognition systems to be able to do the same.
Let's consider the corner features. If you enlarge an image, a corner might stop being a corner, as follows:
In the second case, the detector will not pick up this corner. ...
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