Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

A MATLAB toolbox for classifier: Version 1.0.7

Group ICA/IVA software (MATLAB)

MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of clas…

Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab

SJTU CS386 Digital Image Processing

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

Federated Principal Component Analysis Revisited!

Fusion ICA Toolbox (MATLAB)

基于PCA的人脸识别

Streaming, Memory-Limited, r-truncated SVD Revisited!

Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB dataset

Source code for the 2019 IEEE CIVEMSA paper "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach"

Multi-Sensor Image (infrared and visible) Fusion using deep learning framework, Principal Component Analysis, Discrete Wavelet Transform

Demonstration of FusionNet for touchless palmprint and finger texture recognition. Based on the source code for the 2019 IEEE CIVEMSA paper "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach"

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

Official implementation of PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map (IEEE ICASSP 2022)

This system can match human face over a webcam against the pictures stored in a database, primarily by matching facial features such as face, nose and eyes.

Source code for the 2021 ICASSP paper "Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning"