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What is HoG and SIFT Feature Descriptors about?

Here are the key steps in HOG feature extraction: 1. Compute gradients of luminance in x and y directions at each pixel. 2. Quantize gradient orientations into bins (e.g. 9 bins covering 0-180 degrees). 3. Divide the image into small spatial regions called "cells" (e.g. 8x8 pixels). 4. For each cell, build a histogram of gradient directions using the gradient magnitudes of the pixels within the cell. 5. Group cells into larger spatial regions called "blocks" and normalize the histograms in each bloc

Author

Utkarsh Bhalode

Language

EN