搜索资源列表
piotr_toolbox
- matlab下计算机视觉相关算法,包括分类聚类,特征提取,检测算法等。-computer vision algorithm toolbox at matlab, including classifier and cluster, feature extractor, detector.
threerebuild
- 《计算机视觉中的多视图几何》匹配源代码,matlab中关于三维重建的源代码- Computer Vision in multi-view geometry matching source code, matlab regarding the three-dimensional reconstruction of the source code
OpenCV2-Computer-Vision
- 《OPENCV 计算机视觉》,包含图像处理的基本算法。适合初学者学习。-《OPENCV Computer Vision》,the classic book introduces the basic image processing algorithm. It is good for the beginners.
siftDemoV4
- SIFT,即尺度不变特征变换(Scale-invariant feature transform,SIFT),是用于图像处理领域的一种描述。这种描述具有尺度不变性,可在图像中检测出关键点,是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议(International Conference on Computer Vision,ICCV),2004年再次经David Lowe整理完善后发表于International journal of c
Computer-vision-code-collection
- 计算机视觉代码合集,还不错的,感兴趣的可以参考下了,-Computer vision code collection, but also good, interested can refer to the next,
draw_Eline
- 计算机视觉中,绘制外极线源码,为三维重建、线匹配基础-Computer vision, drawing epipolar source, a three-dimensional reconstruction, the line matching basis
Methods-in-Computer-Vision-
- 计算机视觉中的数学方法.pdf清晰。介绍计算机视觉中的数学原理,讲的很好,前后逻辑关系紧密。-Mathematical Methods in Computer Vision .pdf clear. Introduces mathematical principles of computer vision, speak well and logically close relationship.
myFirst
- 这是《OPENCV2计算机视觉编程手册》里第一章的所有源程序,非原书作者提供的离散的文件,而是自己编的系统的可以直接运行的工程文件和程序 运行环境VS2010,openCV2.2-This is the first chapter of the《 OPENCV2 computer vision programming manual》, all source program, the author of the This is the first chapter of the OPENCV2
mysecond
- 这是《OPENCV2计算机视觉编程手册》里第二章的所有源程序,非原书作者提供的离散的文件,而是自己编的系统的可以直接运行的工程文件和程序 运行环境VS2010,openCV2.2-This is the OPENCV2 computer vision programming manual in the second chapter of all source program, the author of the original book to provide discrete docu
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
reconstruct_two-view
- 计算机视觉练习,从物体的二视图还原3D结构-Cube reconstruction 2 views
detect
- 高光的存在对计算机视觉的各种算法影响很大, 比如图像的分割和特征提取等, 如何检测和消除图像中亮度过高的区域一直是个热点问题.介绍了一种去除单张图片中高光的方法。-Bilateral Filtering (Bilateral filter) is a nonlinear filtering method is a combination of spatial proximity and the pixel values of the image processing The presence o
CameraCalibration
- 此代码 是计算机视觉中关于摄像机标定的一组源代码-This code is machine vision camera calibration on a set of source code
matconvnet-1.0-beta18.tar
- matconvnet是matla版本的深度学习库,在计算机视觉领域应用极广,该库执行效率高,精简,模型丰富。-matconvnet is matla version of deep learning library, in a very wide field of computer vision applications, the library of high efficiency, streamlining, rich model.
Opencv-2-computer-vision
- 这是一本循序渐进的计算机视觉指导手册,给予OpenCV2代码库中包含高级特性的C++接口。本书介绍了OpenCV2中众多的视觉算法。你将学会如何读、写、创建及操作图像,领略图像分析中常用的技术,并了解如何使用C++高效实现。-This is a step by step computer vision guidance manual, to give the OpenCV2 code library contains advanced features of the C++ interface.
Super-pixel-segmentation-algorithm
- 在计算机视觉领域,图像分割(Segmentation)指的是将数字图像细分为多个图像子区域(像素的集合)(也被称作超像素)的过程。超像素由一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息,且一般不会破坏图像中物体的边界信息。-In the field of computer vision, image segmentation (Segmentation) refers to the process of segmentation
Slicer-RigidRegistration
- 弹性图像配准方法在气象图像中的应用,图像配准是计算机视觉和模式识别领域中的一项重要课题,在遥感探测、医学成像和基于多传感器融合的目标识别等研究中都有重大的应用价值。-Elastic image registration method in meteorological image application, image registration in computer vision and pattern recognition is an important topic in remote se
daima
- 彩色目标追踪 视频图像序列目标跟踪是目前计算机视觉领域研究的热点问题之一,它广泛应用于智能监控、智能交通、汽车辅助驾驶、精确制导等民用和军事 领域- CamShift Demo Object tracking in image sequence is one of the hottest problems in the field of military computer vision. The object tracking technique is widely used bot
surf
- SURF意指 加速的具有鲁棒性的特征,由Bay在2006年首次提出,这项技术可以应用于计算机视觉的物体识别以及3D重构中。SURF算子由SIFT算子改进而来,一般来说,标准的SURF算子比SIFT算子快好几倍,并且在多幅图片下具有更好的鲁棒性。SURF最大的特征在于采用了harr特征以及积分图像integral image的概念,这大大加快了程序的运行时间。-SURF (Speeded Up Robust Feature) is a robust local feature detector,
conversion-factor
- 转换因子计算,用于opencv计算机视觉图像处理-conversion factor