27 September 2016 A robust HOG-based descriptor for pattern recognition
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Abstract
The Histogram of Oriented Gradients (HOG) is a popular feature descriptor used in computer vision and image processing. The technique counts occurrences of gradient orientation in localized portions of an image. The descriptor is sensible to the presence in images of noise, nonuniform illumination, and low contrast. In this work, we propose a robust HOG-based descriptor using the local energy model and phase congruency approach. Computer simulation results are presented for recognition of objects in images affected by additive noise, nonuniform illumination, and geometric distortions using the proposed and conventional HOG descriptors.
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Julia Diaz-Escobar, Julia Diaz-Escobar, Vitaly Kober, Vitaly Kober, } "A robust HOG-based descriptor for pattern recognition", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712A (27 September 2016); doi: 10.1117/12.2237963; https://doi.org/10.1117/12.2237963
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