语音编码文档，将ILBC代码专为硬件时需进行操作及对代码进行优化...

图像处理框架 图像处理框架 -Image processing framework for image processing framework for image processing framework

基于Opencv的图像帧抓取程序，可以从摄像头的连续抓取图像，并动态保存在设定的相应路径下的文件夹中。-Based on the image frame Opencv crawl process can be continuous crawl camera images, and dynamic settings stored in the corresponding path under the folder.

基于图像处理特点的harris角点图像配准程序

图形学中的基本画图算法的实现，可能会有点小问题，请自己校正-graphics, the basic algorithm for drawing the realization may be some minor problems, its own calibration

robustly fits an affine fundamental matrix to a set of putatively matched image points-robustly fits an affine fundamental matri x to a set of putatively matched image points

本文提出了一种新的跨国家的障碍 检测技术为基础的立体视觉系统。 原始图像的预处理的高斯 过滤器和对比度限制的自适应直方图 均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。 -Cross-country intelligent vehicles always work in complicated environments with varying illuminations. The paper presents a new cross-country obstacle detection technology based on stereo vision system. The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. Harris corners are located with sub-pixel accurate. To guarantee the overall system real-time performance, feature-based matching techniques are studied and fundamental matrix is calculated based on random sample consensus (RANSAC). Also restrains are studied to eliminate pseudo matching pairs. Then data interpolation is introduced to build elevation maps. Edge extraction and morphological processing are concerned to accomplish obstacle detection. Experiment result

此程序是用于边缘检测的MATLAB程序段，可以很好的用于边缘检测-edge defect

计算机图形学，obj图像说明，用于计算机图形学软件中的实体交互,3DMAX MAYA等-Computer Graphics, obj image description for the computer graphics software, interactive entity, 3DMAX MAYA, etc.

opencv下视频的rgb和灰度直方图计算、对比-opencv under the video rgb and grayscale histogram calculation, compared

数字图象处理的应用--人脸检测,通过VC提取特征并完成检测-Application of Digital Image Processing- Face detection, through the extraction of the characteristics of VC and complete testing