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terrainEngine
- 国外程序员编写的基于OpenGL的3D地形引擎。 errain Engine I started working on a terrain engine around October 2000. I was deeply moved by screenshots from black and white :) My intention and main goal was to create something visually stunning. This mean
WC_Frame-D
- 背景差異法(Frame Diference) 此方法是以前景與背景的畫面不同，依據視訊擷取的背景資料 去取得較穩定可信任的資訊，去計算前景與固定背景的像素差異情形，以整合畫素為基礎(pixel-based)與高階區域為基礎(region-based)的資訊，管理 一些視訊並允許其背景資料 的突然改變，這個混合模式嵌入了貝氏機率理 論並允許多個物件的追蹤，有些學者提出以背景差異(background subtraction)模式為基礎去探索移動物
ROAM-LOD
- ROAM Simplistic Implementation By Bryan Turner brturn@bellsouth.net January, 2000 Project file for MS Visual C++ 6.0. Requires GLUT DLL (www.opengl.org) Adjust program constants in Landscape.h and Utility.cpp. MAPS: Default
dtcwpt
- 2-band discrete wavelet transform (DWT) Dual-Tree Complex Wavelet Packet-The 2-band discrete wavelet transform (DWT) provides an octave-band analysis in the frequency domain, but this might not be ‘optimal’ for a given signal. The discrete wave
yundong
- 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshi
FullSceneMotionBlur_src_demo
- The texture used for the motion blur is d In the demo application, the following keys are usable: * s - for changing the rendered scene. * t - for changing the FirstRenderTexture flag that is passed to the RenderToMotionBlurTexture procedu
Adaptive-Thresholding
- Bradley, D., Roth, G., June 2007 We present a technique for real-time adaptive thresholding using the integral image of the input. Our technique is an extension of a previous method. However, our solution is more robust to illumination changes
camera-video
- 从摄像头提取视频文件，并显示每个图像帧的灰度直方图与一维RGB彩色直方图，并且比较上述直方图的距离-Extracted from camera video files, and shows each frame of gray histogram image with a d RGB color histogram, and a comparison of the histogram
Resolution-Image-Reconstruction
- ：超分辨率(sR)重建技术是利用一幅或多幅低分辨率(LR)图像的信息重建出一幅高分辨率(HR)图像，同时能够 消除由成像器件引入的模糊、噪声。该技术应用领域广泛，已经成为国内外图像处理领域的研究热点之一。介绍了超分 辨率重建技术的基本原理，并分别以单帧和多帧、频域和空域为分类依据，分别阐述了超分辨率重建技术的经典方法，系 统地总结了各种方法的优缺点，提出了超分辨率重建技术可能的研究方向，从而为超分辨率重建相关技术的进一步研究 提供一定的理论基础-Abstract：Super—re
FrameSubContourTrack
- 使用OPENCV,对交通视频，做帧间差及外轮廓提取跟踪,内包含测试视频数据，测试时，放于D盘根目录。-Using OPENCV, of traffic video, do and outer contour extraction tracking, frame difference contained within the test video data, test, put in D packing list.
Projects
- 帧差法，开运算，闭运算，二值化，灰度值变换，opencv3.0开发，vs2012-Zhèng chà fǎ, kāi yùnsuàn, bì yùnsuàn, èr zhí huà, huī dù zhí biànhuàn,opencv3.0 Kāifā,vs2010 Frame difference, opening operation, closing operation, binary, gray-value conversion, opencv3.0 development, vs2
SR
- 图像单帧超分辨率重建主要是将已知的先验知识融合进入图像之中，使图像具有更好的细节和视觉效果。- 46/5000 Túxiàng dān zhèng chāo fēnbiàn lǜ chóngjiàn zhǔyào shi jiāng yǐ zhī de xiān yàn zhīshì rónghé jìnrù túxiàng zhī zhōng, shǐ túxiàng jùyǒu gèng hǎo de xìjié hé shìjué xiàoguǒ. Image single-f
三种传统背景减除法
- 使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling