The PhD face recognition toolbox
The PhD (Pretty Helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition. The toolbox was produced as a byproduct of my research work and is freely available for download.
The PhD toolbox features implementations of several popular face recognition techniques, such as principal component analysis, linear discriminant analysis, kernel principal component analysis, or kernel fisher analysis. In addition to these techniques, it contains functions for Gabor filter construction, Gabor feature extraction, phase congruency computation and others. An important part of the toolbox are also the evaluation tools that allow for the construction of the most common performance curves (e.g., ROC, DET, CMC, EPC) used for evaluating face recognition systems.
In addition to the above, the toolbox also features a large number of demo scripts that demonstrate how to use the functions from the toolbox in face recognition experiments using a real database. These scripts demonstrate the complete procedure of building and testing face recognition systems based on Gabor filters and subspace projection techniques.
引用
Vitomir Struc (2024). The PhD face recognition toolbox (https://www.mathworks.com/matlabcentral/fileexchange/35106-the-phd-face-recognition-toolbox), MATLAB Central File Exchange. 取得済み .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Object Detection Using Features > Face Detection >
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1.0.0.0 |