资源列表
JingDongInterface
- 图像识别算法，使用点阵方式识别图片，借用Tessnet2.zip 组件，用来进行图片文字/图片数字识别(Tessnet2.zip use to be Image recognise)
BESO-原本
- 拓扑优化Beso基本算法,包括有限元分析，拓扑优化算法(Beso Basic Algorithms for Topology Optimization)
Bow-image-retrieval-master
- 基于BoVW的图像特征提取，以及图像检索(Image feature extraction and image retrieval based on BoVW)
MPEG7FexLib_src_OpenCV22
- 基于OpenCV的MPEG-7特征提取，c++代码(MPEG-7 feature extraction based on OpenCV)
computer_vision-master
- 图像特征提取，有SIFT、BOW、VLAD、LBP、HOG、FishVector、gist、Metric、colorhist。(Image feature extraction, including SIFT, BOW, VLAD, LBP, HOG, FishVector, gist, Metric, colorhist.)
adtive_feature1
- 以python语言为平台，对机载激光雷达原始数据Las格式和txt格式进行读取，并根据信息熵确定维度特征计算的最佳邻域半径，最后计算得到最佳邻域半径和最佳维度特征值(Based on Python language, the Las format and TXT format of airborne lidar raw data are read, and the optimal neighborhood radius is determined according to the informa
MRT_Steup
- modis一般是hdf数据，使用MRT（MODIS Reprojection Tool）工具可以将数据装换为.tif格式以及提取拼接(Modis is commonly HDF data, and the data can be reprojected to the.tif format and outprojection using the MRT (modis Reprojection Tool))
helloword5353
- 均值方差与协方差 协方差矩阵、特征值与特征向量的提取、PCA原理 人脸识别算法之EigenFace、LBPH 人脸识别应用开发案例(Mean Variance and Covariance Covariance Matrix, Extraction of Eigenvalues and Eigenvectors, PCA Principle EigenFace and LBPH of Face Recognition Algorithms Case Study of Face Recog
Joint entropy
- 计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)
imageshot
- This is about image programming.
模型绘制
- 读取obj的内容数据 利用opengl绘制出 obj格式的三维模型(Read and draw the three-dimensional model of obj format)
仙剑
- 仙剑Microsoft Visual Studio Solution File, Format Version 9.00 # Visual Studio 2005