daopujisuan

说明：  用于三维空间坐标系变换的7参数模型，在设计坐标系变换的各行业应用中用的最多，从数学角度来说也是最严密的转换方法。 由于结果中最多可求得七个转换参数，即三个平移参数、三个旋转参数(Ex、Ey、Ez)和一个尺度缩放因子(m)，因此，通常也被称为七参数法。 (Three-dimensional coordinate system transformation for the 7 parameter model, coordinate system transformation in the design of applications using the most, the industry, from the mathematical point of view, the conversion is the most rigorous methods. Since the results can be obtained up to seven transformation parameters, ie three translation parameters, three rotation parameters (Ex, Ey, Ez) and a zoom scale factor (m), therefore, often referred to as seven-parameter method.)

说明：  用 MATLAB 语言实现图像的空域滤波 用 MATLAB 语言进行 FFT 及逆变换 MATLAB 提供的快速傅立叶变换函数(Spatial filtering of image using MATLAB language FFT and Inverse Transform with MATLAB Language Fast Fourier Transform Function Provided by MATLAB)

利用2张不同角度的图像，重建出三维图像 two view 3D reconstruction(Two different angles of the image, and reconstruct the three-dimensional image two view 3D reconstruction)

基于肤色分割和SVM的人脸检测的MATLAB 代码，主要是利用YCgCr来来进行肤色建模，然后结合SVM进行检测。 希望对您有所帮助！(Based on skin color segmentation and SVM Face Detection MATLAB code, mainly used to carry out color YCgCr to model, and then tested with SVM. Want to help you!)

Kmeans demo program for image segmentation

本程序是利用大气湍流公式对图像进行模糊处理( This program is the use of atmospheric turbulence equations fuzzy image processing)

Tracking based on background subtraction

Matlab源代码 Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.(Matlab source code for Incremental Learning for Robust Visual Tracking, International Journal of Computer Vision (IJCV), vol.77, no.1-3, pp.125-141, 2008.)

官方版SaliencyToolbox最新版本，对加载图片进行视觉注意机制的显著性运算，压缩包内含多张素材图片(The latest version of official version SaliencyToolbox of, load the image of the visual attention mechanism, a significant sex operator, compressed packets containing more than one material picture)

说明：  通过检测二维小波变换的模极大值点可以确定图像的边缘点，利用小波变换的多尺度性用于图像的边缘检测(By detecting modulus maxima point of two-dimensional wavelet transform we can determine the image edge points, using multi-scale nature of wavelet transform in image edge detection)