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CollisionDetector
- 在本教程中，我們將提出一個 O（nm）的碰撞檢測算法，適用於檢測精確三維模型之間的碰撞含N和M三角形。 不過，如果你需要檢查碰撞更複雜的對象，你可以隨時創建中間包圍盒，降低了算法的順序。-In this tutorial, we will propose an O (nm) of the collision detection algorithm for accurate detection of the collision between three-dimensional model wit
ConvexHull2D
- 对任意二维多边形，求出其二维凸包函数，用java实现-complex hull
Adaboost-face-detection
- 基于adaboost的人脸检测识别算法，在复杂背景下有很好的检测效果-Good detection in complex background based on face detection and recognition algorithms in adaboost
IBaseonOpenCVn
- 在介绍Intel公司的开源OpenCV计算机视觉库的基础上，采用CAMSHIFT跟踪算法，实现运动目标跟踪，解决决了跟踪目标发生存在旋转或部分遮挡等复杂情况下的跟踪难题。实验结果表明该算法的有效性、优越性和可行性。 已通过测试。 -Based on the introduction of Intel' s open source OpenCV computer vision library, the CAMSHIFT tracking algorithm to achieve the
shipingjiankong
- 里面的算法在视频监控中非常实用，能在复杂的环境中进行高度识别。-Inside the algorithm is very useful in video surveillance, a high degree of recognition in a complex environment.
Model-background
- 本算法实现的是对复杂背景的建模，从结果中发现所建模型较好。-The algorithm to achieve the modeling of complex backgrounds, found that from the results of the proposed model is better.
OpenNIHand
- 用OpenNI、Nite和OpenCV实现对复杂环境中特定手势的检测和位置的确定。-With OpenNI, Nite and OpenCV complex environment to achieve specific gesture detection and position determination.
61IC_H102405
- 一种运动目标检测方法，从复杂背景中检测出目标-A moving target detection method from complex background detect the target
extractForeground
- opencv中复杂背景背景建模已实现并测试的源代码-opencv background modeling in complex background has been implemented and tested source code
FaceRecognition_CNN(olivettifaces)
- 智能图像/视频处理中，复杂背景环境（比如室外环境、机场、车站等）下，人脸识别的第一步是人脸的检测。它的精确度直接影响到后期识别的结果。不过，领域内的科学家们基本上很难有足够的精力和时间开发优化的C++代码，使其用于商业用途，而一般都是只在Matlab中进行模拟。 本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。文章中的分类器的训练数据来自与我的 webcam图像，它们被采集于不同时间，不同光照，不同背景环境下，它几乎可以实时地检测
graphUtils
- OpenCV库根据提供的数组画数据图，使用这个库可以在屏幕上，或者图像上画曲线图。可以在测试一个算法时，非常方便的观察到数字数组。-Showing a simple graph of an array.This library is just a collection of functions that can be used to simply plot a graph of an array in its own window, or to overlay graphs into exi
Quadtree
- 完成对视频帧的四叉树分割，在纹理复杂处分割块较小，在纹理平坦处分割较大-Complete quadtree segmentation of video frames, complex area in texture segmentation smaller, flat larger regional segmentation block in texture
Finger-tip-detection
- 指尖识别程序，linux上运行，需要libX11的支持。识别效率特别高。适合在复杂环境下的检测。-Fingertip recognition program that runs on linux, the need to support libX11. Recognition efficiency is particularly high. Suitable for detection in complex environments.
复杂背景下的绝缘子识别
- 复杂背景下的图像识别，复杂背景包括森林，田地，天空，迷雾等等。(Complex background image recognition, complex background, including forests, fields, sky, fog, and so on.)
基于opencv的绝缘子及其等电位线故障状态智能识别
- 识别复杂背景下的绝缘子，提取绝缘子，放射投影后对绝缘子进行故障检测。(To identify the insulator in the complex background, the insulator is extracted and the insulator is detected after the projection.)
11
- 光流法处理图像，提取前景图像，复杂场景，动态目标(Optical flow is used to process images, extract foreground images, complex scenes, and dynamic objects)