Histogram of Orientated Gradients 3D (3D Voxel HOG)

Versione 1.1.0.0 (1,03 MB) da Rob Dupre
Matlab implementation of 3D HOG features for use on Voxel Volumes
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Aggiornato 13 feb 2017

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3D Voxel HOG (3D VHOG) is based on the original Histogram of Oriented Gradients "Pedestrian Detection using Histogram of Oriented Gradients" By Dalal and Triggs. It extends the method by using voxels over pixels and expands the original histograms into 2 dimensions. This implementation was developed for local object structure detection, for use in a risk analysis framework (see Papers Below) in which it is used to classify risk related properties of an object (sharp edges, points etc). However the feature has also been used successfully in face detection problems.

Dupre, R. and Argyriou, V. (2015) 3D Voxel HOG and risk estimation. In: 2015 IEEE International Conference on Digital Signal Processing (DSP); 21-24 Jul 2015, Singapore.

Rob Dupre, Vasileios Argyriou, D. Greenhill, Georgios Tzimiropoulos:
A 3D Scene Analysis Framework and Descriptors for Risk Evaluation. 3DV 2015: 100-108

Cita come

Rob Dupre (2024). Histogram of Orientated Gradients 3D (3D Voxel HOG) (https://www.mathworks.com/matlabcentral/fileexchange/55978-histogram-of-orientated-gradients-3d-3d-voxel-hog), MATLAB Central File Exchange. Recuperato .

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1.1.0.0

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