CCV: Modern Computer Vision Library

Two years later, the ccv 0.1 library was released, which uses a number of modern computer vision algorithms.

The ccv library is written in C and is positioned as a compact, lightweight alternative to OpenCV , so all nonessential functions are carefully removed from it. Thus, ccv is not intended for experiments with different algorithms, but for practical use in specific applications.

The ccv library implements the following algorithms:

1. Very fast BBF (Brightness Binary Feature) recognition feature for fixed objects.
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2. Accurate recognition algorithm for more complex DPM objects (Deformable Parts Model).



3. SWT (Stroke Width Transform) text recognition algorithm.



4. Feature Point Detection Algorithm SIFT (Scale Invariant Feature Transform).



All images are generated without post processing.

Ccv project on github