搜索资源列表
bidui
- 用Opencv做的关于图像相似度方面的东西,可以用作对比两张图片的相似程度。非常有用,实现了可视化界面。-With the Opencv do the things on the image similarity can be used as a contrast to the degree of similarity of the two pictures. Very useful to achieve a visual interface.
learning-OpenCV
- 学习opencv的中文资料,很基础的东西-Learning opencv of the Chinese data, very basic things
Learning-OpenCV
- 讲述opencv入门知识,对新手来说是很好的书,希望能好好利用。-It help new learner to learn opencv.It teach basic things about opencv. It will help a lot is you learning it by heart.
face-detect
- 人脸检测。利用到了opencv跟qt 好东西哦,可以看一下。-Face detection. Qt to use opencv with good things Oh, you can look at.
JMyron0025
- t’s a relatively easy thing for computers to “see” video, but “computer vision” goes a step further, applying a wide range of techniques by which computers can begin to understand and process the content of a video input. These techniques tend toward
cv
- opencv 仿射变换的demo.不错的东西啊.通过这个了解opencv的强大-opencv demo. affine transformation good things ah the opencv strong through this understanding
CodeMatch
- 寻找一幅图像的匹配的模板,可以在一段视频里寻找出我们感兴趣的东西,比如条形码的识别就可能需要这样类似的一个工作提取出条形码区域-Looking for a template that matches the image, you can look out over the video we are interested in things, such as barcodes might need such a task similar to extract barcode area
Multi-target-tracking-algorithm
- 多目标跟踪 很好的学习代码 值得借鉴 学习的好东西-Multi-target tracking code good learning good things worth learning
opencv
- opencv的学习资料,从最基础的东西开始学习,一套很好的学习资料-opencv learning materials, from the most basic things to start learning, a very good learning materials
harris
- Harris角点检测基本理论(要讲清楚东西太多,附录提供文档详细说明)-Harris corner detection basic theory (too many things to talk clearly, appendix provides a detailed descr iption of the document)
road_line_marker_detect
- 使用hough变换的方法进行道路地面标线进行探测,较pund的旧版本(道路线检测)而言,更新了配置和说明。 这个程序写的很初级,没有用到其它方法,基本原理就是Hough变换,在win32平台和openCV库支持下的使用demo.-demo of road marker line detect using hough transform method. the only perfect things is that it is simple and easy to use for primer
tldTest4
- tld修改后的例子,能够实现donttai物体的跟踪-tld demo which has changed,can track the moving things.
人脸识别
- 使用OPENCV库提供的接口,实现人脸的识别功能。 在一个人脸识别系统中,应用多种预处理技术对将要识别的图片进行标准化处理是极其重要的。多数人脸识别算法对光照条件十分敏感,所以假如在暗室训练,在明亮的房间就可能不会被识别出来等等。比如脸部也应当在图片的一个十分固定的位置(比如眼睛位置为相同的像素坐标),固定的大小,旋转角度,头发和装饰,表情(笑,怒等),光照方向(向左或向上等),这就是在进行人脸识别前,使用好的图片预处理过滤器十分重要的原因。你还应该做一些其它事情,比如去除脸部周围的多余像素(
新建 Microsoft Word 文档
- 讲解了进行人脸检测和人脸识别的一些算法流程,和一些需要注意的东西(Explained the face detection and face recognition algorithm flow, and some things need attention)
