OpenPR开源代码项目

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OpenPR, stands for Open Pattern Recognition project and is intended to be an open source platform for sharing algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields. Code released by OpenPR is under BSD license, and can be freely used for education and academic research. OpenPR is currently supported by the National Laboratory of Pattern Recognition, Institution of Automation, Chinese Academy of Sciences.


Thresholding program 

This is demo program on global thresholding for image of bright small objects, such as aircrafts in airports. the program include four method, otsu,2D-Tsallis,PSSIM, Smoothnees Method.

Authors chen xueyun
E-mail  xueyun.chen@nlpr.ia.ac.cn

Principal Component Analysis Based on Nonparametric Max... 

In this paper, we propose an improved principal component analysis based on maximum entropy (MaxEnt) preservation, called MaxEnt-PCA, which is derived from a Parzen window estimation of Renyi’s quadratic entropy. Instead of minimizing the reconstruction  ...

Authors Ran He
E-mail  rhe@nlpr.ia.ac.cn


Metropolis–Hastings algorithm 

Metropolis-Hastings alogrithm is a Markov chain Monte Carlo method for obtaining a sequence of random samples from a probability distribution for which direct sampling is difficult. Thi sequence can be used to approximate the distribution.

Authors Gong Xing
E-mail  xgong@nlpr.ia.ac.cn
Tags sampling ,  distribution


Maximum Correntropy Criterion for Robust Face Recogniti... 

This code is developed based on Uriel Roque's active set algorithm for the linear least squares problem with nonnegative variables in: Portugal, L.; Judice, J.; and Vicente, L. 1994. A comparison of block pivoting and interior-point algorithms for linear  ...

Authors Ran HE
E-mail  rhe@nlpr.ia.ac.cn
Tags pattern recognition


Naive Bayes EM Algorithm 

OpenPR-NBEM is an C++ implementation of Naive Bayes Classifier, which is a well-known generative classification algorithm for the application such as text classification. The Naive Bayes algorithm requires the probabilistic distribution to be discrete. Op  ...

Authors Rui XIA
E-mail  rxia@nlpr.ia.ac.cn
Tags pattern recognition ,  natural language processing ,  text classification


Local Binary Pattern 

This is a class to calculate histogram of LBP (local binary patterns) from an input image, histograms of LBP-TOP (local binary patterns on three orthogonal planes) from an image sequence, histogram of the rotation invariant VLBP (volume local binary patte  ...

Authors Jia WU
E-mail  jwu@nlpr.ia.ac.cn
Tags computer vision ,  image processing ,  pattern recognition


Two-stage Sparse Representation 

This program implements a novel robust sparse representation method, called the two-stage sparse representation (TSR), for robust recognition on a large-scale database. Based on the divide and conquer strategy, TSR divides the procedure of robust recogni  ...

Authors Ran HE
E-mail  rhe@dlut.edu.cn
Tags pattern recognition


CMatrix Class 

It's a C++ program for symmetric matrix diagonalization, inversion and principal component anlaysis(PCA). The matrix diagonalization function can also be applied to the computation of singular value decomposition (SVD), Fisher linear discriminant analysis  ...

Authors Chenglin LIU
E-mail  liucl@nlpr.ia.ac.cn
Tags pattern recognition


P3P(Perspective 3-Points) Solver 

This is a implementation of the classic P3P(Perspective 3-Points) algorithm problem solution in the Ransac paper "M. A. Fischler, R. C. Bolles. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartogr  ...

Authors Zhaopeng GU
E-mail  zpgu@nlpr.ia.ac.cn
Tags Computer Vision ,  PNP ,  Extrinsic Calibration


Linear Discriminant Function Classifier 

This program is a C++ implementation of Linear Discriminant Function Classifier. Discriminant functions such as perceptron criterion, cross entropy (CE) criterion, and least mean square (LMS) criterion (all for multi-class classification problems) are sup  ...

Authors Rui Xia
E-mail  rxia@nlpr.ia.ac.cn
Tags linear classifier ,  discriminant function


Naive Bayes Classifier 

This program is a C++ implementation of Naive Bayes Classifier, which is a well-known generative classification algorithm for the application such as text classification. The Naive Bayes algorithm requires the probabilistic distribution to be discrete. Th  ...

Authors Rui Xia
E-mail  rxia@nlpr.ia.ac.cn
Tags pattern recognition ,  natural language processing ,  text classification


OpenCV Based Extended Kalman Filter Frame 

A simple and clear OpenCV based extended Kalman filter(EKF) abstract class implementation,absolutely following standard EKF equations. Special thanks to the open source project of KFilter1.3. It is easy to inherit it to implement a variable state and me  ...

Authors Zhaopeng GU
E-mail  zpgu@nlpr.ia.ac.cn
Tags Computer Vision ,  EKF ,  INS


Supervised Latent Semantic Indexing 

Supervised Latent Semantic Indexing(SLSI) is an supervised feature transformation method. The algorithms in this package are based on the iterative algorithm of Latent Semantic Indexing.

Authors Mingbo Wang
E-mail  mb.wang@nlpr.ia.ac.cn


SIFT Extractor 

This program is used to extract SIFT points from an image.

Authors Zhenhui Xu
E-mail  zhxu@nlpr.ia.ac.cn
Tags computer vision


OpenPR-0.0.2 

Scilab Pattern Recognition Toolbox is a toolbox developed for Scilab software, and is used in pattern recognition, machine learning and the related field. It is developed for the purpose of education and research.

Authors Jia Wu
E-mail  jiawu83@gmail.com
Tags pattern recognition


Layer-Based Dependency Parser 

LDPar is an efficient data-driven dependency parser. You can train your own parsing model on treebank data and parse new data using the induced model.

Authors Ping Jian
E-mail  pjian@nlpr.ia.ac.cn
Tags natural language processing


Probabilistic Latent Semantic Indexing   
Authors Mingbo Wang
E-mail  mbwang@nlpr.ia.ac.cn


Calculate Normalized Information Measures 

The toolbox is to calculate normalized information measures from a given m by (m+1) confusion matrix for objective evaluations of an abstaining classifier. It includes total 24 normalized information measures based on three groups of definitions, that is,  ...

Authors Baogang Hu
E-mail  hubg@nlpr.ia.ac.cn


Quasi-Dense Matching 

This program is used to find point matches between two images. The procedure can be divided into two parts: 1) use SIFT matching algorithm to find sparse point matches between two images. 2) use "quasi-dense propagation" algorithm to get "quasi-dense" p  ...

Authors Zhenhui Xu
E-mail  zhxu@nlpr.ia.ac.cn


Agglomerative Mean-Shift Clustering 

Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets. For the purpose of algorithm speedup, an agglomerative MS clustering metho  ...

Authors Xiao-Tong Yuan
E-mail  xtyuan@nlpr.ia.ac.cn
Histograms of Oriented Gradients (HOG) Feature Extracti... 

This program is used to extract HOG(histograms of oriented gradients) features from images. The integral histogram is used for fast histogram extraction. Both APIs and binary utility are provided.

Authors Liang-Liang He
E-mail  llhe@nlpr.ia.ac.cn