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Matrices.rar
- opengl Matrices
CalcLDA
- PCA---主成分分析 LDA---线性区别分析此类实现结合两者的有缺点实现图像模式识别,其中需要有矩阵类-PCA principal component analysis --- --- LDA linear discriminant analysis combining the two to achieve such a flawed it Image is pattern recognition, which requires matrices
life3D
- 3-Dimensional version of Conway s Game of Life. \"Life\" is a cellular automaton invented by John Conway that involves live and dead cells in a rectangular, two-dimensional universe. This implementation uses a M x M x M grid the number initial ramdom
load_VPVS
- Import 3D Matrices from Matlab dat files, exported from MAT-files, into OpenGL 3D Textures. Sample data provided
2DLDA_PK_LDA_for_feature_extraction
- These are the codes in \"A note on two-dimensional linear discrimant analysis\", Pattern Recognition Letter In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assu
Matrices
- Direct3D立方体
计算两个矩阵的欧式距离
- 计算两个矩阵的欧式距离，opencv，对模式识别有帮助！-Two matrices of Euclidean distance calculation
计算两个矩阵之间的欧氏距离
- 计算两个矩阵之间的欧氏距离，对学生模式识别的人有帮助。-Calculated between the two Euclidean distance matrices, pattern recognition to students who have helped.
yanyan
- 把一个256*256的图像分成8*8小块，然后进行DFT变换，分别比较在空间域和频域内对图像进行二次抽样和差值最后得出的图像比较-1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. Apply DFT to these sub images, and get the fourier transfo
textture-feature
- 基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵,所用图像灰度级均为256-Co-occurrence matrix based texture feature extraction, d = 1, θ = 0 °, 45 °, 90 °, 135 ° total of four matrices, the use of gray-scale images are 256
FastWalshTransform
- fwt,fwt2分别是一维、二维快速沃尔什变换函数,采用蝶形快速算法编写，要比利用矩阵相乘得到变换结果的离散沃尔什变换快很多-fwt, fwt2 are one-dimensional, two-dimensional fast Walsh transform function, the use of butterfly Fast Algorithm for the preparation of, than the use of transformation matrices to be the
3-----Matrices
- opengl Matrices
gray_matix
- 灰度共生矩阵提取图像特征 然后对图像分类-Gray-scale extraction of image feature co-occurrence matrix of image classification and then
EmdL1_v2
- NOTES: 1. This implemention borrowed some basic framework from Rabner s original EMD code. 2. Histogram matrices are assumed to be arranged in the "matlab" style, i.e, the [i,j,k]-th element is located in the position i*(n2*n3) + j*(n3
RGB2LabAndLab2RGB
- ％ function [L, a, b] = RGB2Lab(R, G, B) ％ RGB2Lab takes matrices corresponding to Red, Green, and Blue, and ％ transforms them into CIELab. This transform is based on ITU-R ％ Recommendation BT.709 using the D65 white point reference. ％ The e
HNO
- his scr ipt demonstrates some basics of how to read and display images in MATLAB. Reference: See Chapter 2, "Deblurring Images - Matrices, Spectra, and Filtering" -his scr ipt demonstrates some basics of how to read and display im
sheying
- 摄影测量，用于摄影测量中的交会问题。其中解决了矩阵相乘问题-Photogrammetry, photogrammetry for the rendezvous problem. One of problem solving matrices
image
- 本程序显示如何用C++类来创建和显示图像，这个C++类在 cxcore.hpp 中定义，与 矩阵类(CvMatrix) 相似-This procedure shows how to use C++ Class to create and display images, the C++ class defined in cxcore.hpp with matrices (CvMatrix) similar to
Matrices
- 一个3D天空盒子，让游戏更加真实-一个3D天空盒子，让游戏更加真实！！！！
Low-Coherence-Sensing-Matrices
- A method for constructing low coherence sensing matrices based on best spherical codes is proposed. Such matrices are applied in Compressed Sensing (CS) to obtain measurements of a sparse vector. With the means of CS, it is possible to recons