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对图像的特征向量进行降维处理，降低代码复杂性，提高目标检测准确率(The dimension of feature vectors extracted image can be reduced by the code. Also, the code complexity is decreased, accompanying with the improved precision of object detection.)

球体的Marching Cubes实现，运用OPENGL绘制图像(Marching Cubes sphere of the realization of the use of OPENGL rendering image)

一个比例和方向自适应均值漂移跟踪算法（SOAMST） 提出本文所要解决的问题，如何估计的规模和方向 改变均值漂移下的目标跟踪框架。在原来的均值偏移 跟踪算法，可以很好地估计目标的位置，规模的同时， 方向的变化，不能自适应估计。考虑到图像（重量） 是来自于目标运动模型和候选模型可以代表的可能性，一个 像素属于目标，我们证明了原来的均值漂移跟踪算法可以 推导出的重量图像的零阶和一阶矩。随着零阶 矩和目标模型和候选模型之间的Bhattacharyya系数， 提出了简单而有效的方法来估计的规模为目标。然后一种方法， 利用估计的区域和第二阶中心矩，提出 自适应地估计目标的宽度，高度和方向的变化。广泛 实验来证实所提出的方法，并验证其可靠性 规模和方向变化的目标。(A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this paper to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, while the scale and orientation changes can not be adaptively estimated. Considering that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target, we show that the original mean shift tracking algorithm can be derived using the zeroth and the first order moments of the weight image. With the zeroth order moment and the Bhattacharyya coefficient between the target model and candidate model, a simple and effective method is proposed to estimate the scale of target. Then an approach, which utilizes the estimated area and the second order center moment, is proposed to adaptively e)

说明：  此方法采用经典的PCA对人脸图像进行特征提取，用libsvm库函数的SVM分类器对图像分类。(This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.)

说明：  Hough 变换，探测圆的半径，可以探知未知圆的半径和圆心(Hough transform, circle detection radius, you can explore the unknown circle radius and center)

test figure example to check gui

说明：  经典高斯烟雨模型、固定点源、3d模拟、三维图、等高线图(Classic Gaussian smoke and rain model, fixed point source, 3d simulation, three-dimensional map, contour map)

BMP24位位图量化成256色BMP图，本程序彩八叉树颜色量化。(BMP24-bit quantization into a 256-color bitmap BMP map, this program color octree color quantization.)

经典的高斯混合模型背景建模+肤色检测的Matlab实现(Classic Gaussian mixture model background modeling+ skin detection Matlab achieve)

OFDM调制的的AWGN加瑞丽衰落信道,其它的我就不多说了(OFDM modulation of AWGN and ruili fading channel, the other I will not say)