LINEJ

基于PCA的人脸识别历程，包含PCA的算法，用MATLAB实现的。(face recognition based on PCA)

LK 和HS光流代码，初学者可用，带有误差分析(LK optical flow and the HS code is available for beginners, error analysis with)

捷宇 高拍仪 demo SDK

将Radarsat2极化SAR图像数据转换为散射矩阵及相干矩阵T3的matlab代码,附上的图像文件是用Enviview软件截取转存的各通道实部虚部文件,以及lutsigma.xml查找表文件.作者辛苦所做,希望对SAR初学者有所帮助.(Will Radarsat2 polarization SAR image data is converted to T3 scattering matrix and the coherent matrix of matlab code, the attached image file is transferred Enviview software maintained by the interception of the real part imaginary part of the channel files, and lutsigma.xml lookup table file. Of the hard done, in the hope SAR to help beginners.)

图像拼接，利用互相关函数自动寻找匹配点。(Image mosaic, using cross-correlation function automatically find matching points.)

多个函数的曲线拟合，里面统计有最小二乘、非线性回归(Curve fitting for multiple functions)

基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力(Hot and difficult of the current research areas of domestic and foreign feature point matching based the SIFT image registration program SIFT feature matching algorithm is its ability to match between the two images, can handle translation, rotation, affine transformation case match problem, even in some degree images taken at any angle with more stable feature matching ability)

图像去噪，小波硬阈值滤波，sym4小波基函数(Image denoising and hard threshold wavelet filtering, sym4 wavelet basis function )

编制一个通用的边缘提取函数。通过输入不同的参数，能够实现Sobel算子、Prewitt算子、Roberts算子、Marr算子和Canny边缘检测。 实验图像任选 (Preparation of a common edge extraction function. By entering different parameters to achieve the Sobel operator, Prewitt operator, Roberts, operator, operator of Marr and Canny edge detection. Experimental image optional)

本文中我们提出一个新颖的算法分析和 估计深度从单个图像捕捉到一个编码的孔径 相机。这是一个具有挑战性的问题,需要 新的工具和调查,而多视点重建。 (In this paper we present analysis and a novel algorithm to estimate depth from a single image captured by a coded aperture camera. This is a challenging problem which requires new tools and investigations, compared with multi-view reconstruction.)