资源列表
grabcut
- grabcut算法用于图像分割,效果不错,需要vs2013配置opencv3.0。-grabcut algorithm for image segmentation, good results, you need to configure opencv3.0 withvs2013
meanshift
- 均值漂移算法用于图像分割,vs2013配置opencv3.0,有滑动条改变参数。-Mean shift algorithm for image segmentation, vs2013 configuration opencv3.0, there is a slider to change the parameters to see the effect.
watershed
- 分水岭算法用于图像分割,需要vs2013配置opencv3.0,有很大改进空间。-Watershed algorithm for image segmentation, the need to configure vs2013 opencv3.0, there is a lot of room for improvement.
autowatershed
- 自动分水岭算法,需要比较好的bmp格式的二值化图像,效果才好。vs2013配置opencv3.0-Automatic watershed algorithm, the need for a better BMP format of the two value of the image, the effect is good. Vs2013 configuration opencv3.0
12345654321
- 学习opencv中文版教程随书源码,可以仿照学习opencv开发-Learning opencv Chinese version of the tutorial source with books, you can follow the development of learning opencv
basler_test
- 通过opencv获取basler相机拍摄的图片,需要opencv和pylon库-Get basler camera pictures by opencv need opencv libraries and pylon
FaceDect-master
- 基于增强Adaboost分类器人脸检测,效果很不错!值得借鉴!-Enhanced Adaboost classifier based on face detection, the effect is very good! Worth learning!
opentrack
- opentrack 头部跟踪开源库,支持PointTracker,Oculus Rift,Intel RealSense 3D cameras等-opentrack is an application dedicated to tracking user s head movements and relaying the information to games and flight simulation software.
License-plate-location
- 车牌定位,可以有效地识别图像中的车牌,并准确定位。-License plate location, can effectively identify the image of the license plate, and accurate positioning.
-contour-extraction
- 提取运动物体的轮廓,会在视频接入第一刻捕捉图像,然后对图像进行二值化。易于操作!-To extract the moving object, the outline of will in the first moment to capture the image of the video access, then the image binarization。 Easy to operate。
Bezier
- 采用贝塞尔算法生成贝塞尔曲线,调整控制点显示不同的曲线-The Bessel algorithm is used to generate the Bessel curve, and adjust the control points to display different curves.
code
- 这个是使用局部敏感哈希算法完成的人脸识别算法,使用MATLAB简单制作了界面,算法还行,界面比较丑-This is completed using locally sensitive hash algorithm face recognition algorithm using MATLAB produced a simple interface, algorithms okay, interface is ugly
