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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.
Authorschen 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 ...
AuthorsRan 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.
AuthorsGong Xing
E-mail xgong@nlpr.ia.ac.cn
Tagssampling, 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 ...
AuthorsRan HE
E-mail rhe@nlpr.ia.ac.cn
Tagspattern 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 ...
AuthorsRui XIA
E-mail rxia@nlpr.ia.ac.cn
Tagspattern 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 ...
AuthorsJia WU
E-mail jwu@nlpr.ia.ac.cn
Tagscomputer 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 ...
AuthorsRan HE
E-mail rhe@dlut.edu.cn
Tagspattern 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 ...
AuthorsChenglin LIU
E-mail liucl@nlpr.ia.ac.cn
Tagspattern 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 ...
AuthorsZhaopeng GU
E-mail zpgu@nlpr.ia.ac.cn
TagsComputer 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 ...
AuthorsRui Xia
E-mail rxia@nlpr.ia.ac.cn
Tagslinear 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 ...
AuthorsRui Xia
E-mail rxia@nlpr.ia.ac.cn
Tagspattern 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 ...
AuthorsZhaopeng GU
E-mail zpgu@nlpr.ia.ac.cn
TagsComputer 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.
AuthorsMingbo Wang
E-mail mb.wang@nlpr.ia.ac.cn

SIFT Extractor 
This program is used to extract SIFT points from an image.
AuthorsZhenhui Xu
E-mail zhxu@nlpr.ia.ac.cn
Tagscomputer 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.
AuthorsJia Wu
E-mail jiawu83@gmail.com
Tagspattern 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.
AuthorsPing Jian
E-mail pjian@nlpr.ia.ac.cn
Tagsnatural language processing

Probabilistic Latent Semantic Indexing 
AuthorsMingbo 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, ...
AuthorsBaogang 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 ...
AuthorsZhenhui 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 ...
AuthorsXiao-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.
AuthorsLiang-Liang He
E-mail llhe@nlpr.ia.ac.cn

 

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