低时延检测技术分析

实现通过用户给定B样条曲线的控制顶点、设定B样条曲线的次数及类型，进而绘制出相应的B样条曲线和对应的基函数图形。并且可以通过鼠标拖拽控制顶点修改B样条曲线和对应的基函数图形。从而，对B样条曲线和基函数的性质有更深入更直观的了解，理解B样条曲线和基函数的对应关系，在以后的学习中能更好地运用B样条曲线。(The number and type of user to achieve a given control vertices B-spline curve, set the B-spline curves, and then draw the corresponding B-spline basis functions and the corresponding graphic. And can be modified by dragging the mouse to control the apex B-spline curves and the corresponding basis function graphics. Thus, the nature of the B-spline curves and basis functions have a deeper and more intuitive understanding, understanding of the correspondence between the B-spline curves and basis functions in later learning to better use of B-spline curves.)

说明：  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 Recognition Application Development)

对监控视频中的目标进行识别，提取背景信息(The target in the surveillance video is identified and background information is extracted)

说明：  数字图像处理 小波处理 ，去噪音，比基于傅里叶变换的去噪方法好。 含噪信号经过预处理，然后利用小波变换把信号分解到各尺度中，在每一尺度下把属于噪声的小波系数去掉，保留并增强属于信号的小波系数，最后再经过小波逆变换恢复检测信号。(The noisy signal is pre-processed, then the signal is decomposed into different scales by wavelet transform. The wavelet coefficients belonging to noise are removed at each scale, and the wavelet coefficients belonging to the signal are retained and enhanced. Finally, the detected signal is restored by inverse wavelet transform. It is better than the denoising method based on Fourier transform.)

主要功能是实现相机标定，以及实现反投误差，实现特征点的提前。(The main function is to achieve camera calibration and error to achieve the anti-investment, to achieve the feature points in advance.)

该算法实现了数字图像中松弛标记算法处理图像。(The relaxation labeling algorithm in digital image processing)

matlab实现lsb替换算法，包括水印嵌入、提取及PSNR计算评估。(Matlab implements LSB replacement algorithm, including watermark embedding, extraction and PSNR computation and evaluation.)

说明：  利用PCA对人脸图像进行降维，然后训练神经网络分类器的Matlab程序(the Matlab in face recoginization using PCA algorithm)

基于matlab的三维重建代码，提取两幅图片的匹配点(Based on three-dimensional reconstruction of the matlab code, extract the two images match point)

用verilog实现sobel边缘检测算法(sobel edge detection with verilog language)