图像不变矩的推广，可以利用图像的不变矩进行二次开发

机器视觉测量圆的一个软件源码，大家共同学习学习-Machine vision measurement round a software source code, learn the common U.S.

这是一个用matlab编写的图形处理程序源代码，有图形界面-This is a preparation using Matlab graphics program source code, graphics interface

aceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测 操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理 模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。 另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-aceDetection running, First to file "opened face.bmp included in the photo, and can only proceed after face detection operation, needs to be emphasized is the human face detection, eye detection and location, human mouth of the detection and location, Face to outline four processing module must be in accordance with the chronological order, Besides, the various modules must also operate in accordance with the menu bar from top to bottom to the order. In addition, As the face detection is used when a priori knowledge, So the only right given to the Photo face.bmp to handle.

基于tms320vc5509a的gpio控制很实用的-Based on the gpio control tms320vc5509a very practical

应用背景 Discrete-Continuous Optimization for Multi-Target Tracking (CVPR 2012) 关键技术The problem of multi-target tracking is comprised of two distinct, but tightly coupled challenges: (i) the naturally discrete problem of data association, i.e. assigning image observations to the appropriate target; (ii) the naturally continuous problem of trajectory estimation, i.e. recovering the trajectories of all targets. To go beyond simple greedy solutions for data association, recent approaches often perform multi-target tracking using discrete optimization. T

关于 虚拟视景仿真中 经常会用到的 blade 可以制作 机翼等很多东西 -On the virtual scene simulation is often used in the wing blade can make a lot of things, etc.

对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。-For some images, the commonly used edge detection algorithm sometimes can not be an appropriate threshold for the gradient of their smaller fuzzy edge detected. To solve this problem, there are two solutions: the image variance standardization, widening the fuzzy edge of the gradient value, or by setting the sigmoid function pixel region to disseminate the message to the gradient values to adjust, on the can find a suitable threshold, effectively extracted fuzzy edge. This procedure of these two algorithms with the traditional algorithm.

用于图像处理的一些代码-for some image processing code

这是一个openGL的机器人行走转圈的演示程序.有详细注释.-This is a openGL walking robot moved around the demonstration program. Notes detail.

指纹识别相关代码 希望大家有用 edgedetect.cpp edgedetect.h fmt_bitmap.cpp fmt_bitmap.h fvs_img_morphology.cpp fvs_img_morphology.h fvscanny.cpp fvscanny.h fvsedgedetect.cpp fvsedgedetect.h fvsfile.cpp fvsfile.h fvsimage.cpp fvsimage.h fvstypes.h -Fingerprint-related code hope everyone useful edgedetect.cppedgedetect.hfmt_bitmap.cppfmt_bitmap.hfvs_img_morphology.cppfvs_img_morphology.hfvscanny.cppfvscanny.hfvsedgedetect.cppfvsedgedetect.hfvsfile.cppfvsfile.hfvsimage.cppfvsimage.hfvstypes.h