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computervision
- 马颂德的计算机视觉，很经典，希望对大家有帮助。-Ma Songde of computer vision, it is classic, I hope all of you help.
vxl-1.11.0
- VXL (the Vision-something-Libraries) is a collection of C++ libraries designed for computer vision research and implementation. It was created from TargetJr and the IUE with the aim of making a light, fast and consistent system. VXL is written in ANS
BaseonOpenCV
- 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。-Introducing Intel s open-source computer vision library OpenCV on the basis of CAMSHIFT tracking algorithm used to achieve moving target tracki
camshiftdemo
- opencv目标跟踪对于进行opencv计算机视觉开发的朋友有很高的参考价值。--opencv target tracking is fundamental to the development of computer vision opencv friend has high reference value.--
dtgz
- opencv目标跟踪对于初学opencv计算机视觉开发的朋友很有参考价值。-opencv target tracking opencv computer vision for the beginner to develop valuable friend.
CCD
- CCD摄像机标定的研究 计算机视觉；三维重建；摄像机模型；摄像机标定；畸变-CCD camera calibration in computer vision research three-dimensional reconstruction camera model camera calibration distortion
LucasKanadeTracker
- Lucas-Kanader-Tomasi Feature Tracker，基于B.D.Lucas和T.Kanade[1]于1981的早期工作，于1991年由C.Tomasi和T.Kanade[2]完整导出，并于1994年由J.Shi和C.Tomasi[3]在文章中清楚地阐述。J.Y.Bougue[4]于2000年给出了此算法的一种实现，并收录在Intel公司的计算机视觉函数库OpenCV中。本例是此算法基于OpenCv的代码实现-Lucas-Kanader-Tomasi Feature Trac
matrix-method
- 组合矩阵论 工科研究生核心课程 广泛用于计算机视觉 优化 力学等学科-Portfolio矩阵论engineering graduate core curriculum is widely used in computer vision to optimize the mechanical sciences
IPA_v0_12
- Ipa是一个数字图像处理与识别的通用性平台。它由一组松耦合的算法与功能类组成，可以帮助用户快速的开发用于某一专业领域的数字图像处理与计算机视觉程序。-IPA library is a platform which developed for image processing and analysis. It composed by a lot of class of algorithm and function with loose coupling, which can help users
MBasicMatrix
- 用MATLAB实现计算机视觉中三维重构所需的基本矩阵的运算-Using MATLAB realize three-dimensional reconstruction in computer vision the basic matrix operations
RANSAC_27-Nov-2008
- ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准.-RANSAC is a commonly used method of robust computer vision, two images can be used for registration.
demo_src_1_sdrthsf
- Image alignment is the process of matching one image called template [let s denote it as T] with another image, I [see the above figure]. There are many applications for image alignment, such as tracking objects on video, motion analysis, and many ot
OpenCVEnglishManual
- OpenCV英文手册 OpenCV是一个计算机视觉的开源的开发包 里面集成了许多图像处理中常用的函数-OpenCV manuals English OpenCV is an open source computer vision of the development package which integrates many commonly used image processing functions
Programmingcomputervisionapplications
- Learning OpenCV: Computer Vision with the OpenCV Library -Learning OpenCV puts you right in the middle of the rapidly expanding field of computer vision. Written by the creators of OpenCV, the widely used free open-source library, this book introduce
OpencvTest
- 微扑翼飞行器(FMAV)是一种模仿鸟类或昆虫飞行的新概念飞行器，根据拍摄的视频图像，按照计算机视觉理论设定了适用于微扑翼飞行器的运动模态检测方案。VC++6.0平台上进行了编程实现。经过试验可以看出这种模态检测方法的可行性和准确性，其结果对微扑翼飞行器的优化改进起到了积极的作用。 -Flapping-wing aircraft (FMAV) is a kind of mimic the flight of birds or insects of a new concept vehicle,
DSP
- 数字图像处理，图像处理的概念，有限离散，符合上述条件的都成为数字图像。 研究方向从图像处理到计算机视觉。-Digital image processing, image processing concept, finite discrete comply with the above conditions have become the digital image. Research directions from the image processing to computer vision
ipp-ocv
- PROGRAMMING WITH INTEL IPP (INTEGRATED PERFORMANCE PRIMITIVES) AND INTEL OPENCV (OPEN COMPUTER VISION) UNDER GNU LINUX
demo_src_1[1].1
- 图像对齐是用一张图像称作模板,与另一张图像对齐.图像对齐有许多应用,像捕捉视频目标,运动分析和其他计算机视觉. -Image alignment is referred to as an image template, and another image alignment. Image alignment has many applications, like video capture goals, sports analysis and other computer vision.
RobotVision
- 著名专家写的计算机视觉方面的原著，希望对大家有所帮助-Writing a well-known experts in the computer vision aspects of the original, and they hope to help everyone
1111
- 介绍了在工业检测中，计算机视觉技术的应用，在构件上提取椭圆的方法-Introduction in industrial inspection, the computer vision technology, at an oval component extraction method on