Feature extraction in 2D or 3D via histograms of normal Gabor-wavelets

Version 1.0.0.0 (237 KB) by Mehryar Emambakhsh
These functions compute normals of Gabor-wavelets and use spherical patches to extract features.
4.0
(3)
542 Downloads
Updated 24 Sep 2017

View License

This package implements the feature extraction algorithm using spherical patches from the Gabor-wavelet normal maps explained in:
M. Emambakhsh and A. Evans, “Nasal patches and curves for an expression-robust 3D face recognition,”
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 5, pp. 995-1007, 2017.
Simply run the Demo_spherical_patched.m file to see a step by step output. Despite it is introduced for 3D face recognition, its applications can also be extended to other classes of 2D, 2.5D or 3D images, given a set of landmarks are available over the region.

Cite As

Mehryar Emambakhsh (2024). Feature extraction in 2D or 3D via histograms of normal Gabor-wavelets (https://www.mathworks.com/matlabcentral/fileexchange/63549-feature-extraction-in-2d-or-3d-via-histograms-of-normal-gabor-wavelets), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Spherical patches feature extraction/

Version Published Release Notes
1.0.0.0

Images added