LIDRIC
LIDRIC is a "A Local Image Descriptor Robust to Illumination Changes" and is based on the paper of the same title presented at SCIA 2013. Experiments show the superiority of this descriptor compared to others, e.g., SIFT, DAISY, SURF, FREAK.
The current implementation is fully written in Matlab and is freely available for non-commercial research use. Please note that the code has not been fully runtime optimized, although version 1.02 brings a considerable speed-up compared to version 1.0. You can check "main.m" for how to use the code.
Please cite our paper when using the code for your research:
Zambanini S., Kampel M. "A Local Image Descriptor Robust to Illumination Changes", Proc. of Scandinavian Conference on Image Analysis - SCIA 2013, pp. 11-21, 2013.
Cite As
Sebastian Zambanini (2024). LIDRIC (https://www.mathworks.com/matlabcentral/fileexchange/43520-lidric), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
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