Harris.rar

KLT point match:Detection and Tracking of Point Features.

通过使用块匹配法实现运动矢量的检测，块大小和搜索区域大小可自定(Achieved through the use of block matching motion vector detection, block size and search area size can be customized)

手指静脉预处理，图像分割，静脉纹路分割，滤波去噪，细化等相关代码(Finger vein pretreatment, image segmentation, vein segmentation, filtering and denoising, thinning and other related codes)

说明：  对图像进行纹理特征提取，有LBP，旋转不变lbp，统一lbp，小波特征提取等比较齐全的特征提取算法(Texture feature extraction of images, such as LBP, rotation invariant lbp, unified lbp, wavelet feature extraction and other relatively complete feature extraction algorithms)

利用背景减除法进行运动前景分割，而后利用归一化RGB颜色空间进行阴影减除，利用连通域进行滤澡，对每一帧进行运动前景提取。(Motion detection by background subtraction and RGB shadow removing method.)

图像拼接小程序，使用直接对比的方法进行拼接并用加权平均的方法进行融合 (a simple program for image splicing )

目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关 节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的跟踪.(Most of the existing hand movement tracking system to a certain extent limited the freedom of human motion. This paper presents a wireless, wearable, accessible wrist, knuckles motion tracking system. In each fingernail on the human body Paste a light small permanent magnet to produce marked the wrist, referring to the signal of the joint movement the number of magnetic sensors placed in the wrist at the electronic wristband, as marked signal (magnetic signal) detector. when the wrist, knuckles campaign , the permanent magnet in the magnetic field of the sensor location at changes in the sensors of the magnetic signal measurement, the detected magnetic field signal sent from the start with the Ministry of posture is estimated, the estimator based on the mathematical model to calculate the hand position in order to achieve of hand movement tracking.)

基于深度图像的图像修复算法，首先得到待修复图像的深度图像，然后利用图像的深度图对破损区域进行修复。(Based on the image restoration algorithm of depth image, the depth image of the image to be repaired is obtained, and then the damaged region is repaired by using the depth map of the image.)

nist部分算法研究，序列检测，频率检测，累加和检验检测(nist part of the algorithm research, sequence detection, frequency detection, cumulative and inspection)

使用Tensoflow实现图卷积神经网络模型(Use Tensoflow Implementation Figure convolution neural network model)