搜索资源列表
helloopencv
- Android平台上用opencv库编写的测试小代码。用于保存一张图片-Android platform test with the opencv library to write a small code. To save a picture
Cartoonifier_Desktop
- OpenCV 一个实例，调用摄像头，对人脸进行卡通化的实例-This code will show you how to write some image-processing filters for Android smartphones and tablets, written first for desktop (in C/C++)
opencv.tar
- opencv代码，port好了到android,很好的东西,用于人脸识别-opencv code, port to android, very good thing, for face recognition
Opencv_camera_android
- Android平台使用opencv for android实现颜色识别，用于机器人比赛时的颜色识别，设备为nexus7-Using opencv for android Android platform to achieve color recognition, robotics competition for the color recognition, equipment nexus7
Chapter1_AndroidCartoonifier
- 本章将告诉你如何为Android写一些图像处理过滤器 智能手机和平板电脑，第一次写的桌面（C / C + +），然后移植 Android（具有相同的C / C + +代码，但与Java GUI），这是自 推荐方案在开发用于移动设备。-Cartoonifier and Skin Changer for Android
face-detect
- 在安卓NDK下实现了图像的sift检测，可以圈出特征点，并且能够匹配二幅图像，需要opencv库支持。-In the android to realize the image under the NDK sift detection, can circle the feature points, and the ability to match two images, need opencv library support.
imageComparator
- android平台上利用OpenCV的不同算法进行图像的比较，包括ORB, BRIEF, BRISK和FREAK算法-use the android platform to compare different algorithms OpenCV image, comprising ORB, BRIEF, BRISK and FREAK algorithm
OpenCV
- OpenCV的全称是：Open Source Computer Vision Library。OpenCV是一个基于BSD许可（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows和Mac OS操作系统上-OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces
OpenCVDemo
- OpenCV在Android手机端的应用，实现了图像灰度化处理。-OpenCV applied in Android smart phong and realized the image grayscale processing.
opencv-3.3.0
- OpenCV3.0安装包，OpenCV是一个基于BSD许可（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows、Android和Mac OS操作系统上(OpenCV3.0 installation package, OpenCV is a cross platform computer vision library based on BSD license (open source), which can run in Linux, Windows, Android and M
15861255-1-80
- OPEN CV 配置学习视频 OpenCV是一个基于BSD许可（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows、Android和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，同时提供了Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法。(open cv learning video)