文件名称:OpenCVcankaowenxian
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OpenCV于1999年由Intel建立，如今由Willow Garage提供支持。OpenCV是一个基于（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。它轻量级而且高效——由一系列 C 函数和少量 C++ 类构成，同时提供了Python、Ruby、MATLAB等语言的接口，实现了图像处理和计算机视觉方面的很多通用算法-OpenCV was founded in 1999 by Intel, by Willow Garage provides support for now. OpenCV is a based (Kai Yuan) issued a cross platform computer vision library, can run on Linux, Windows and Mac OS operating system. It is lightweight and efficient composed of a series of C function and a small amount of C++, and provides Python, Ruby, MATLAB language interface, the realization of many common algorithms of image processing and computer vision
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下载文件列表
1 CenSurE Center Surround Extremas for Realtime Feature Detection and Matching.pdf
10 Theory and practice of projective rectification.pdf
11 Stereo Processing by Semiglobal Matching and Mutual Information.pdf
12 Determining Optical Flow.pdf
13 Visual Correspondence Using Energy Minimization and Mutual Information.pdf
14 An iterative image registration technique with an application to stereo vision.pdf
15 Robust Detection of Lines Using the Progressive Probabilistic Hough Transform.pdf
16 Color image segmentation.pdf
17 Fast approximate nearest neighbors with automatic algorithm configuration.pdf
18 Finding the convex hull of a simple polygon.pdf
19 Topological structural analysis of digitized binary images by border following.pdf
2 k-means++ The Advantages of Careful Seeding.pdf
20 On the Detection of Dominant Points on Digital Curves.pdf
21 An image inpainting technique based on the fast marching method.pdf
22 Depth Discontinuities by Pixel-to-Pixel Stereo.pdf
23 Good Features to Track.pdf
24 An Introduction to the Kalman Filter.pdf
25 Comparative study of Hough transform methods for circle finding.pdf
3 SURF Speeded Up Robust Features.pdf
4 Distance transformations in digital images
5 Pyramidal implementation of the lucas-kanade feature tracker Description of the algorithm.pdf
6 Computer Vision Face Tracking For Use in a Perceptual User Interface.pdf
7 The Representation and Recognition of Action Using Temporal Templates.pdf
8 Motion segmentation and pose recognition with motion history gradients.pdf
9 Distance Transforms of Sampled Functions.pdf