This projects contains a CUDA implementation for the Difference-of-Gaussian (DoG) detector and Scale Invariant Feature Transform (SIFT) descriptor, as described in Distinctive Image Features from Scale-Invariant Keypoints. Currently, only the DoG detector part is implemented. The implementation is intented for Windows, and was tested on Windows 10 Educational, with an NVIDIA GeForce 2060 RTX GPU.
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A CUDA implementation of the DoG detector (done) and SIFT feature detector (planned).
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