HOG (Histogram of Oriented Gradients) MEX Implementation
Descriptor implemented according to Histograms of Oriented Gradients for Human Detection [Dalal, Triggs, 2005], with added variance normalization for the input image.
Compile using mex hog.cxx.
All the code is in the header file, hog.h, so it is possible to include that header file into your cpp application and use it directly. hog.cxx simply serves as an entry point for matlab.
See the comments in hog.cxx for usage.
Cite As
Paul Sastrasinh (2024). HOG (Histogram of Oriented Gradients) MEX Implementation (https://www.mathworks.com/matlabcentral/fileexchange/38916-hog-histogram-of-oriented-gradients-mex-implementation), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
- MATLAB > Graphics > 2-D and 3-D Plots > Data Distribution Plots > Histograms >
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