fast-parrallel-and-opta

) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。() The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.)

图像融合的评价指标程序代码Image fusion uation program code(Image fusion uation program code)

This code implements two variations of the paper "High accuracy optic flow using a theory for warping" presented at ECCV 2004 by Dr. Thomas Brox.

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)

说明：  一种新的图像清晰度评价函数,该函数对经典采用八方向模板Sobel边缘检测算子来检测梯度值(A new image definition evaluation function, which uses eight direction template Sobel edge detection operator to detect gradient value)

提取图像的lbp纹理特征，然后进行向量表示( Lbp extracted texture features of the image, and then vector representation)

基于扩展卡尔曼滤波器的粒子滤波器源程序The iterated extended kalman particle filter(based on extended Kalman Filter The particle filter iterated extend source ed Tracking particle filter)

视觉仿生学在图像处理中具有非常重要的作用，视觉侧抑制原理在目标增强中具有很大的潜力(Bionics in visual image processing has a very important role in the visual principles of lateral inhibition in the target has great potential to enhance)

张正友经典论文，灵活的相机标定法，内附图片+源码，可以直接使用(zhangzhengyou,image+program, A Flexible New Technique for Camera Calibration)

说明：  gui界面设计，进行图像的一般处理，如旋转，加噪，直方图均衡化等(gui interface design, the general image processing, such as rotation, noise, such as histogram equalization)