SiftGPU- SIFT enabled on GPU
Version 1.0.0.0 (7.8 MB) by
Adam Chapman
implementation of SIFT compiled on graphics card
11.7K Downloads
Updated
28 Jan 2008
No License
This is an implementation of David Lowe's original Scale Invariant Feature Transformation algorithm implemented on a graphics card by Chanchang Wu and mex'd by Adam Chapman.
Cite As
Adam Chapman (2024). SiftGPU- SIFT enabled on GPU (https://www.mathworks.com/matlabcentral/fileexchange/18441-siftgpu-sift-enabled-on-gpu), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2007a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
- Parallel Computing > Parallel Computing Toolbox > GPU Computing >
- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction > Local Feature Extraction > SIFT - Scale Invariant Feature Transform >
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SIFTGPU/TestWin/src/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 | fixing spelling mistakes |