KL-face-recognition

说明：  灰度图像的边界跟踪的方法，先用微分算子计算出图像的梯度图。然后再应用此算法。(Gray-scale image of the border tracking methods, first calculate the differential operator of the gradient map images. And then apply this algorithm.)

基于亚像素运动估计算法的块匹配运动，有源码跟参考文献，初学的小伙伴可以看看(Block-matching motion estimation algorithm based sub-pixel motion, there is source code with references, beginner can look at a small partner)

通过计算机usb摄像头进行图像采集，然后实时处理，跟踪其中运动物体，并进行计数，采用中值滤波法得到背景，并根据需要进行更新，视频处理采用了动态差分与前景差分结合的方法，效果比较理想，但无法解决人物重叠的问题(Usb camera through the computer for image acquisition, and real-time processing and tracking moving objects in which, and the count median filter by using the background and update as needed, video processing using a dynamic difference with the prospect of differential combination of methods, results ideal, but can not solve the problem of overlapping characters)

干涉型布拉格阵列，利用反射干涉原理的光纤布拉格光栅阵列(The reflection interference principle interferometric Prague array fiber Bragg grating array)

结合SAR图像降斑以及频域增强的SAR图像增强技术(a SAR image enhancement method combined with despeckling and enhancement in the frequency domain)

波束空间DOA的估计,从图中可以很好的看出角度的估计还是可以的。(Beam-space DOA estimation, from the figure we can see the point of a good estimate is still possible.)

susan实现图像的角点检测,调用的详细说明在源代码内有注释.()

对多目标航迹跟踪进行关联和融合,采用JPDA（联合概率数据关联算法）对目标跟踪(And the multi-target track tracking is combined and merged)

在matlab的基础上，使用掩膜图像分割出上层图像(On the basis of matlab, mask image is used to segment the upper image)

用奇异值分解的方法实现图像压缩，有助于初学者了解奇异值分解的应用(Using singular value decomposition method to achieve image compression will help beginners understand the application of singular value decomposition)